Archit is available for hire
Hire ArchitArchit Sharma
Verified Expert in Engineering
Software Developer
Bengaluru, Karnataka, India
Toptal member since July 18, 2022
Bio
Archit is a senior principal engineer with 12+ years of experience architecting high-performance distributed systems across cloud and bare-metal environments. He specializes in infrastructure (DevOps, SRE, LLM/MLOps) and blockchains (DeFi, DePIN, L1/L2), scaling production networks from research to launch. He codes full-stack systems, has authored white papers, and contributed to patented research. He operates as a product architect and fractional CTO, leading teams from strategy to execution.
Portfolio
Freelance
Next.js, ECS, Cloudflare, VictoriaMetrics, Blockchain, Amazon EKS, Zero Trust...
Kurv Tech
Kubernetes, Blockchain, Hyperledger Fabric, Go, Python 3, Terraform, Ansible...
Lighthouse Technologies Limited
Google Cloud Platform (GCP), Kubernetes, Terraform, Ray, Documentation...
Experience
- Python 3 - 10 years
- Bash Script - 10 years
- Shell Scripting - 10 years
- Linux - 10 years
- Kubernetes - 10 years
- Blockchain - 8 years
- Terraform - 6 years
- Hyperledger Fabric - 3 years
Preferred Environment
Linux, Python 3, Amazon Web Services (AWS), Shell Scripting, Visual Studio Code (VS Code), GitHub, Containers, Go
The most amazing...
...project I've worked on is a public blockchain where I led engineering R&D, co-authored research, engaged stakeholders, and delivered talks and workshops.
Work Experience
DevOps, SRE, Blockchain and AIOps Consultant
2023 - PRESENT
Freelance
- Developed an observability stack for around 150 globally distributed bare-metal nodes for devnet, testnets, and valnets using ArgoCD and EKS cluster, managing secure ingress.
- Managed node operations with infrastructure as code (IaC), including load-balanced RPCs, full-nodes, and validator nodes; implemented alerting and JSON-RPC health checks; and created in-house tools for inventory management and a transaction generator for benchmarking RPCs.
- Coordinated hardware inventory purchase and lifecycle management with hardware vendors, collaborating with external node operators, third-party RPC, and indexers via Slack, Telegram, and Discord.
- Overhauled DeFi infrastructure, enhancing security, autoscaling, and WAF/rate limits; migrated infrastructure to a globally autoscaled mix of ECS, EC2, Amplify, CloudFront, and Lambda across six AWS regions; and managed Mongo Atlas DR and S3 archival.
- Migrated a Node.js back end to Go for a low-latency, multi-chain intent-based DeFi trading solver, supporting platforms like Ethereum, Polygon, Arbitrum, BSC, and Blast.
- Built LLM-powered RAG pipelines by developing a FastAPI web app/APIs for real-time PDF-based knowledge retrieval using LangChain, FAISS/Qdrant, vLLM, and T4/A10/A100 GPUs.
- Architected AI-driven trading pipelines with self-hosted Prefect workflows on EC2, RDS, ECS, and ECR to process market data and analytics.
Technologies: Next.js, ECS, Cloudflare, VictoriaMetrics, Blockchain, Amazon EKS, Zero Trust, Crypto, TypeScript, React, Large Language Model Operations (LLMOps), Large Language Models (LLMs), LangChain, AWS Amplify, AWS Lambda, FastAPI, Go, Python 3, Neo4j, Supabase, HAProxy, Terraform, Ansible, AWS Organizations, AWS CloudTrail, Okta, SAML, Tailscale, VPN, Qdrant, Grafana, Loki, Redis, Apache Kafka, Decentralized Exchanges (DEXs), rook-ceph, Telegram Bots, Slackbot, Argo CD, Velero, FAISS, Amazon S3 Cross-Region Replication (CRR), AWS WAF, DDoS, Load Balancers, Self-managed Kubernetes, Consul, InfluxDB, MongoDB, Iptables, API Management, Microservices Architecture, RabbitMQ, ClickHouse, Machine Learning, Ollama, Virtual Private Cloud (VPC), ChatGPT, Slack, OpenAI, Discord Bots, Bots, LlamaIndex, Discord, Notion, Continuous Deployment, Grafana k6, Node.js, Blockchain Platforms, Cryptography, Hash, vLLM, Graphics Processing Unit (GPU), Capacity Planning, RAG Architecture, Model Context Protocol (MCP), Fractional CTO, Large-scale Distributed Systems, Rust, Software Architecture
Founder
2021 - PRESENT
Kurv Tech
- Conducted market research, including interviewing potential users for project ideation and implementation in stealth mode.
- Gained funding from AWS Activate Founders program (2021), Google for Startups (2022), and a few reserved instances serving a self-maintained Kubernetes cluster for testing prototypes.
- Gained three certifications via Linux Foundation—CKA, CKS, and CHFD.
- Participated in KubeCon Europe 2021 and contributed to cloud-native repositories on GitHub, including CRI-O, OpenEBS, Tinkerbell, Chaos Mesh, Thanos.io, and Serverless Workflow.
- Developed prototypes and conducted product design research (UI/UX).
Technologies: Kubernetes, Blockchain, Hyperledger Fabric, Go, Python 3, Terraform, Ansible, JavaScript, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Ngrok, Raspberry Pi, System Design, Networking, Kubespray, Docker, Amazon Web Services (AWS), NGINX, Amazon DynamoDB, DevOps, Monitoring, Systems Monitoring, Traffic Monitoring, CI/CD Pipelines, Bash Script, Infrastructure as Code (IaC), Databases, Site Reliability Engineering (SRE), Cloud, Container Orchestration, Shell Scripting, AWS Cloud Architecture, ECS, Helm, Amazon EC2, Amazon S3 (AWS S3), Microservices, Architecture, Load Balancers, Kubernetes Operations (kOps), Amazon Elastic Container Service (ECS), AWS CloudFormation, Amazon CloudWatch, AWS DevOps, Amazon EKS, CircleCI, Jira, Cost Reduction & Optimization (Cost-down), Linux Server Administration, Unix, Bash, Cloud Services, System Administration, DevSecOps, Amazon RDS, Datadog, Apache Kafka, SSL, Cloud Computing, Cloud Architecture, Configuration Management, SSL Certificates, Vault, Sentry, SonarQube, Argo CD, Infrastructure, Zero-knowledge Proofs, Computer Networking, NVIDIA CUDA, Content Delivery Networks (CDN), Google Cloud, AWS Lambda, AWS Fargate, Identity & Access Management (IAM), Google Cloud Platform (GCP), AWS CodeDeploy, Git, MongoDB, AWS IAM, Containerization, Amazon Aurora, GraphQL, React, Argo Workflow, Technical Leadership, Web Applications, Jupyter, Fuzz Testing, GitHub Actions, Google Workspace, On-premise, IT Operations Management (ITOM), Virtual Machines, Team Leadership, Technical Documentation, AWS Command Line Interface (CLI), HashiCorp, Open-source Software (OSS), Azure, Linux, Orchestration, Scripting Languages, FastAPI, DNS, IT Infrastructure, Microsoft Visual Studio, OpenTofu, Pulumi, Full-stack Development, Large Language Model Operations (LLMOps), Large Language Models (LLMs), AWS Monitoring, Microservices Architecture, Machine Learning, White Papers, Ollama, Virtual Private Cloud (VPC), LangChain, Gemini, Claude, ChatGPT, Slack, OpenAI, Discord Bots, Bots, LlamaIndex, Discord, Notion, Continuous Deployment, Node.js, Cryptography, Hash, vLLM, Graphics Processing Unit (GPU), RAG Architecture, Model Context Protocol (MCP), Rust, Software Architecture
Kubernetes Expert
2024 - 2024
Lighthouse Technologies Limited
- Deployed ML inference pipelines on Kubernetes using Ray-powered GPU clusters (GKE, Kueue, BigQuery, Cloud SQL) for financial analysis use cases.
- Utilized Terraform to set up GKE and configure other GCP components.
- Optimized Ray cluster usage to reduce overhead, streamline connections to CloudSQL, and manage workload task queues with prioritization.
Technologies: Google Cloud Platform (GCP), Kubernetes, Terraform, Ray, Documentation, Machine Learning Operations (MLOps), Fluent Bit, Google Cloud Composer, Machine Learning, Slack, Continuous Deployment, Graphics Processing Unit (GPU), Capacity Planning
Lead Senior DevOps Engineer
2024 - 2024
Io.Net
- Led DevOps for a team of 5+ in a cross-team overall capacity of 40+ engineers, assisted leadership for a leading DePIN (Decentralized Physical Infrastructure Network) provider.
- Oversaw major savings on migration from managed to self-hosted infra, shepherded all kinds of cross-team tasks and firefighting.
- Played a key role in achieving reward program launch via airdrops, coin launch on Binance with $1 billion participation, moving teams from using managed SaaS products to in-house well-tested, high throughput, low latency logging infrastructure.
- Migrated from Azure to DigitalOcean to AWS, Cloudflare configurations (Zero Trust, Origin CA with Kubernetes, SSL rotations, DDoS mitigations), architectural overhaul, and major caching strategic changes with developers to reduce RDS/Supabase load.
- Developed ETL workflows with Spark (EMR), Athena, Glue jobs, and CI/CD improvements (OIDC, Terraform, ArgoCD, Grafana, Betterstack, Loki, Sentry, OneUptime stack, Slack alerts, etc).
- Contributed code to optimize concurrency and error handling and its deployment as a Kubernetes job to scrape and publish logs from managed services for internal analysis and publish them via Amazon S3, AWS CloudFront, and Cloudflare.
- Opened key library issues for production workers that would otherwise lead to non-deterministic, such as network failures and SSL contextual errors behind proxy and asynchronous contexts.
- Deployed KubeRay in a heterogeneous cluster (nodes in global regions and home network) within a WireGuard-secured network. The point of this POC was to prove ML workloads can be deployed securely on a distributed computing cluster of GPU nodes.
Technologies: DevOps, Kubernetes, CI/CD Pipelines, Containerization, Security, Infrastructure as Code (IaC), Amazon Web Services (AWS), Jenkins, GitLab CI/CD, Terraform, Python, Bash, Cloudflare, Sentry, OpenTelemetry, ClickHouse, Ceph, Grafana, Go, Migration, Site Reliability Engineering (SRE), Azure DevOps, Microsoft Visual Studio, Kubeflow, Ray, Documentation, AWS Auto Scaling, AWS Elastic File System, Full-stack Development, Platform Engineering, Deployment, GitOps, Argo CD, AWS Monitoring, AWS Cloud Security, Virtualization, Networking, API Management, Microservices Architecture, Amazon EKS, Virtual Private Cloud (VPC), Slack, Discord, Notion, Continuous Deployment, Grafana k6, Blockchain Platforms, Cryptography, Hash, Graphics Processing Unit (GPU), Capacity Planning, Software Architecture
DevOps Specialist
2024 - 2024
9thCO Inc.
- Worked with developers on migration from custom CMS to Strapi CMS. Configured CI/CD for Google Cloud via GitHub on development, staging, QA, and production environments and added sample terraform code for future guidance.
- Set up Meilisearch, GCP Cloud SQL, Cloud Build, Terraform, Netlify, and eventually Vercel for a popular music and entertainment digital publisher in under a month.
- Handled proper handover with well-documented architectural diagrams, troubleshooting tips, and tech stack.
Technologies: GitHub, DevOps, Google Cloud Platform (GCP), CI/CD Pipelines, PostgreSQL, Amazon Web Services (AWS), Netlify, Next.js, Strapi, Vercel, Google Cloud SQL, Meilisearch, Google App Engine, Migration, Microsoft Visual Studio, Documentation, Deployment, AWS Monitoring, AWS Cloud Security, Networking, Microservices Architecture, Virtual Private Cloud (VPC), Continuous Deployment, Capacity Planning
Senior Customer Reliability Engineer
2023 - 2023
Replicated
- Conducted product development (Troubleshoot.sh, kURL, KOTS, vendor portal, Helm) and customer support on-call rotations.
- Troubleshot Kubernetes problems, replicated product issues, and everything in between. Work also spanned upstream collaboration, community meetings, open-source products, and support retrospect.
- Coordinated application and Kubernetes deployments, migrations, backups, installations, and failures in cloud, on-prem, and air-gapped customer environments.
Technologies: Kubernetes, Customer Support, Software Development, Open Source, Go, Cloud Storage, Troubleshooting, AWS Command Line Interface (CLI), HashiCorp, Open-source Software (OSS), Linux, Orchestration, Scripting Languages, NGINX, Amazon EC2, DevOps, Site Reliability Engineering (SRE), Microsoft Visual Studio, Kubeflow, Documentation, Full-stack Development, Platform Engineering, Deployment, GitOps, Canary Deployment, Large Language Models (LLMs), AWS Monitoring, AWS Cloud Security, HashiCorp Vault, Virtualization, Networking, Microservices Architecture, Virtual Private Cloud (VPC), ChatGPT, Slack, Notion, Continuous Deployment, Grafana k6, Capacity Planning, RAG Architecture, Large-scale Distributed Systems, Software Architecture
DevOps Engineer
2023 - 2023
DLT Science Foundation
- Developed a full-stack FastAPI web app that facilitated researchers with launching EMR clusters of variable sizes and kinds. Displayed live cluster status, connection to the master JupyterHub node, and an option to terminate them.
- Used Terraform-based infrastructure as code provisioning of EC2, VPC, RDS, S3, and other related AWS-based services.
- Implemented VPC peering between existing infrastructure and new IaC-based infrastructure to facilitate the launching of crawlers from legacy infrastructure.
- Executed tasks, flows, and deployments in ECS that could utilize Prefect blocks for S3 Bucket, AWS credentials, and ECS Task. Handled Prefect-based Dataflow operations and hosted the server and worker/agent on EC2, with RDS as the database.
- Conducted monitoring via Prometheus, Alertmanager, and Grafana with alerts over Slack. Used logging on CloudWatch for EMR clusters as well as ECS-based Prefect data pipelines.
- Used AWS Secrets Manager for credentials in Terraform encrypted via AWS KMS. Conducted strict security group auditing via Terraform and VPN hosted on an EC2 machine to connect to company infrastructure.
- Documented the entire process in GitHub along with architectural details, including all services launched and the system design aspect of it.
Technologies: Data Engineering, Jupyter, Prefect, Amazon Elastic MapReduce (EMR), VPN, Amazon Virtual Private Cloud (VPC), Amazon Elastic Container Service (ECS), FastAPI, Fuzz Testing, GitHub Actions, IT Operations Management (ITOM), Virtual Machines, Technical Documentation, AWS Command Line Interface (CLI), HashiCorp, AWS ALB, Linux, Orchestration, Scripting Languages, NGINX, Amazon EC2, DNS, IT Infrastructure, DevOps, Site Reliability Engineering (SRE), Microsoft Visual Studio, Documentation, AWS Auto Scaling, Full-stack Development, Deployment, AWS Monitoring, AWS Cloud Security, Networking, Microservices Architecture, Machine Learning, Virtual Private Cloud (VPC), Slack, Continuous Deployment, Blockchain Platforms, Hash, Capacity Planning, Software Architecture
Blockchain Developer
2022 - 2022
Sdamp
- Blueprinted an engineering roadmap containing tasks per planned sprints, along with weekly sync-ups via Zoom, Notion, Miro, Slack, and Discord. Documented all efforts into GitHub with architectural diagrams and details in markdown files.
- Delivered production-grade Hyperledger Fabric network hosted on a self-provisioned Kubernetes cluster over AWS EC2 and set up CI/CD pipelines via GitHub Actions and IaaC (Terraform).
- Facilitated smooth deployments and upgrades to blockchain business logic without worrying about layers underneath. Also worked with Kaleido-based blockchain for proof of concept cross-platform deployment.
- Developed business logic via TypeScript-based smart contracts for Hyperledger Fabric-based proof-of-concept network with two organizations and two peers in each organization. Pushed container images and pulled them from Amazon ECR via GitHub Actions.
- Deployed chaincodes as external images could be launched natively from peer containers when packaged as type Kubernetes based on fabric-builder-k8s or as type CCaaS, an external chaincode builder launched as a service.
- Added test cases and CI/CD pipelines for complete chaincode lifecycle validation, including installation, approval, commit, upgrades, and business logic tests via templated queries for each case.
- Worked with Kaleido's Fabric network REST API based on hyperledger/firefly-fabconnect to invoke chaincode functions and Postman collections to automate each step of the API calls.
Technologies: Blockchain, Amazon Web Services (AWS), Microservices, JavaScript, Node.js, Kubernetes, TypeScript, Hyperledger Fabric, Python 3, Amazon Elastic Container Service (ECS), AWS DevOps, Linux Server Administration, Unix, Bash, Cloud Services, Decentralized Finance (DeFi), System Administration, SSL, Cloud Computing, Cloud Architecture, Configuration Management, SSL Certificates, Infrastructure, Computer Networking, Content Delivery Networks (CDN), AWS Lambda, AWS Fargate, Identity & Access Management (IAM), Git, AWS IAM, Containerization, Amazon Aurora, DevOps, Web Applications, Blockchain & Cryptocurrency, GitHub Actions, Virtual Machines, Team Leadership, Technical Documentation, AWS Command Line Interface (CLI), HashiCorp, Open-source Software (OSS), AWS ALB, Linux, Scripting Languages, Amazon EC2, DNS, IT Infrastructure, Site Reliability Engineering (SRE), Documentation, Deployment, AWS Monitoring, Networking, API Management, Microservices Architecture, Virtual Private Cloud (VPC), Slack, Continuous Deployment, Blockchain Platforms, Cryptography, Hash, Blockchain / Chaincode
Grafana Expert
2022 - 2022
Rollee SaS
- Drafted the work scope on the first day of engagement and, in the process, helped root out major issues that the client had been facing for over two weeks with a time-series data visualization.
- Helped the client with Grafana panels using custom PromQL aggregation queries, customized legends, and a mix of different graph visuals to achieve a final dashboard view.
- Created dynamic panels via template variables and walked the client through Prometheus API calls and PromQL-based queries for exporting daily statistics.
Technologies: Grafana, Prometheus, Data Engineering, Data Pipelines, Bash, Cloud Computing, Configuration Management, Infrastructure, Computer Networking, Web Applications, Scripting Languages, DevOps, Documentation, Slack
Site Reliability Engineer
2019 - 2020
CasperLabs
- Delivered decentralized network reliability and performance for the Casper blockchain from alpha to private and public beta releases, involving external node validators growth from five up to around 100; close to a stable mainnet launch.
- Defined observability metrics for the liveness and safety of consensus, assisted in bug fixes in close coordination with core engineering teams and contributed to the protocol stress test framework.
- Led the production hand-offs across the US, Europe, and Asia, which included configuring alerts, logging, and monitoring via ELK, Prometheus, Grafana, Slack, and Alert Manager.
- Contributed to week-long workloads for Scala and Rust-based software on global AWS clusters.
- Followed the infrastructure-as-code ideology; coded the framework to launch automated testbeds provisioned via Terraform and Ansible and artifacts via Drone CI, and released it on GitHub after migrating from JFrog Bintray.
- Supported automated blockchain cluster VM spin-ups via Rundeck for developers to test consensus fault tolerance and throughput.
- Maintained lists of nodes serving a test network iteration, launched test nets, and supported external validators on Discord.
Technologies: Terraform, Ansible, Python 3, Rust, Drone CI, Management, PyPI, Bintray, GitHub, Jira REST API, Confluence, Prometheus, Elasticsearch, Grafana, Rundeck, Incident Response, Cloud Security, Blockchain, DMARC, Go, Elastic Load Balancers, Amazon Virtual Private Cloud (VPC), Consensus Algorithms, Networking, System Hardening, ELK (Elastic Stack), Docker, Performance Engineering, Benchmark Analysis, Amazon Web Services (AWS), NGINX, DevOps, Monitoring, Scalability, Systems Monitoring, Performance, Traffic Monitoring, Security, IT Security, CI/CD Pipelines, Bash Script, Infrastructure as Code (IaC), Continuous Integration (CI), Continuous Delivery (CD), Site Reliability Engineering (SRE), Cloud, Container Orchestration, Shell Scripting, AWS Cloud Architecture, Amazon EC2, Amazon S3 (AWS S3), Microservices, Architecture, Load Balancers, VPN, Amazon Elastic Container Service (ECS), Data Pipelines, Testing, AWS DevOps, Artifactory, Jira, Cost Reduction & Optimization (Cost-down), Linux Server Administration, Unix, Resource Management, Bash, Cloud Services, Decentralized Finance (DeFi), System Administration, DevSecOps, Apache Kafka, SSL, Cloud Computing, Cloud Architecture, Configuration Management, SSL Certificates, Kibana, Vault, Harbor, Infrastructure, Computer Networking, Content Delivery Networks (CDN), AWS Lambda, AWS Fargate, Amazon CloudFront CDN, Identity & Access Management (IAM), Git, AWS IAM, Containerization, Amazon Aurora, GraphQL, Web Applications, Blockchain & Cryptocurrency, Fuzz Testing, GitHub Actions, Google Workspace, IT Operations Management (ITOM), Virtual Machines, Technical Documentation, Logstash, AWS Command Line Interface (CLI), HashiCorp, Open-source Software (OSS), AWS ALB, Linux, Orchestration, Scripting Languages, Email, DNS, IT Infrastructure, Microsoft Visual Studio, Documentation, Fluent Bit, AWS Auto Scaling, AWS Elastic File System, Full-stack Development, Deployment, GitOps, Argo CD, Canary Deployment, AWS Monitoring, AWS Cloud Security, HashiCorp Vault, Virtualization, API Management, Microservices Architecture, Java, Virtual Private Cloud (VPC), Slack, Discord, Notion, Continuous Deployment, Blockchain Platforms, Cryptography, Hash, Capacity Planning, Large-scale Distributed Systems, Software Architecture
Chief Software Architect | Head of Engineering
2018 - 2019
Rayd8
- Designed and developed the infrastructure with an automated deployment pipeline to diagnose a subset of diseases identifiable from retinal scans.
- Contributed to Python-Flask-based minimalist scaffolding that generated inference codebase for deep learning models.
- Used Kubernetes on GCP with load balancing, monitoring, firewall, cloud build, and container repository management.
- Assisted the ML team with implementations of image segmentation and classification algorithms.
- Offered an end-to-end product as an API, as well as independent microservices corroborating different diagnosis algorithms.
Technologies: Image Processing, Deep Learning, Google Kubernetes Engine (GKE), Google Stackdriver, Kubernetes, Docker, Amazon Web Services (AWS), DevOps, Google Cloud Platform (GCP), Monitoring, Systems Monitoring, CI/CD Pipelines, Bitbucket, Bash Script, Infrastructure as Code (IaC), Continuous Integration (CI), Continuous Delivery (CD), Cloud, Container Orchestration, Shell Scripting, AWS Cloud Architecture, Amazon EC2, Amazon S3 (AWS S3), Machine Learning, Artificial Intelligence (AI), GitLab, Microservices, Architecture, Data Pipelines, Machine Learning Operations (MLOps), Jira, Cost Reduction & Optimization (Cost-down), Linux Server Administration, Unix, Resource Management, Bash, Cloud Services, System Administration, GPU Computing, SSL, Cloud Computing, Cloud Architecture, Configuration Management, SSL Certificates, Infrastructure, Computer Networking, NVIDIA CUDA, Content Delivery Networks (CDN), Google Cloud, AWS Lambda, Identity & Access Management (IAM), Git, AWS IAM, Containerization, Amazon Aurora, React, Technical Leadership, Web Applications, Jupyter, GitHub Actions, Google Workspace, Virtual Machines, Team Leadership, AWS Command Line Interface (CLI), HashiCorp, Open-source Software (OSS), AWS ALB, Linux, Orchestration, Scripting Languages, IT Infrastructure, Migration, Site Reliability Engineering (SRE), Documentation, AWS Auto Scaling, Full-stack Development, Deployment, Virtualization, Networking, API Management, Microservices Architecture, Amazon SageMaker, Virtual Private Cloud (VPC), Continuous Deployment, Node.js, Software Architecture
Consensus R&D Lead | Head of Engineering
2018 - 2018
Truechain
- Set up collaborations with globally placed teams and co-authored an initial draft titled TrueChain: Highly Performant Decentralized Public Ledger, as well as a patent filed with the USPTO. Its application number is 16/517,479, claiming continuity of 62/701,559.
- Selected a base (Ethereum fork), sifted through existing whitepapers, implemented an initial research paper, and sought peer reviews in various fields like security, scalability, DevOps, performance, algorithms, token economy, cryptography, and design.
- Outlined an engineering roadmap and included programming paradigms that countered language disparity amongst developers who didn't speak a common language.
- Led the testnet launch in November 2018, achieving 1,200–1,900 TPS (about 100 times faster than Ethereum), and the mainnet launch in March 2019, 11 months after the initial draft.
- Demonstrated technical operations to secure compliance from China's Ministry of IT. Led investor relations through fireside chats, workshops, and hackathons across Boston, Beijing, San Francisco, and Bangalore.
- Coordinated distributed systems developers and researchers from MIT, NYU, and UC Berkeley. Managed open-source contributors from Google, Red Hat, and VMware.
- Presented "From Nakamoto PoW To Hybrid Consensus" at blockchain conferences. (https://www.youtube.com/watch?v=KC_wQKHeo7w).
Technologies: Go, Protobuf, gRPC, Python 3, Practical Byzantine Fault Tolerance (PBFT), Consensus Algorithms, Fault Tolerance, Distributed Systems, Docker, Monitoring, Bash Script, Cloud, Technical Writing, Shell Scripting, Amazon EC2, Architecture, Ethereum, Data Pipelines, Jira, Unix, Bash, Cloud Services, System Administration, SSL, Cloud Computing, Configuration Management, SSL Certificates, Kibana, Infrastructure, Computer Networking, Identity & Access Management (IAM), Git, AWS IAM, Containerization, DevOps, Technical Leadership, Web Applications, Blockchain & Cryptocurrency, Geth (go-ethereum), Fuzz Testing, Virtual Machines, Team Leadership, Technical Documentation, Open-source Software (OSS), Memcached, Linux, Orchestration, Scripting Languages, DNS, Documentation, Full-stack Development, Deployment, Networking, API Management, White Papers, Virtual Private Cloud (VPC), Slack, Discord, Blockchain Platforms, Cryptography, Hash, Software Architecture
Software and Performance Engineer | Research and Development
2014 - 2018
Red Hat
- Led a cross-functional collaborative team for distributed systems scale experiments, deriving insights from data generated by monitoring pipelines.
- Worked on an overarching effort involving knowledge-based recommendations for feature-focused build issues, customer cases, infrastructure planning, and a recent effort around predictive modeling over performance data.
- Contributed to open-sourced tools for workloads, middlewares, and Ansible scripts for infrastructure orchestration around CloudForms, a hybrid cloud platform, when connected to cloud computing infra like AWS, OpenShift, OpenStack, RHV, and vSphere.
- Conducted software development for performance tools using Python, JavaScript, and Shell, automation and containerization with Docker and Ansible, and data visualization with ELK, Grafana, and PostgreSQL.
- Acted as the infrastructure sysadmin for RHVM clusters to host CFME appliances and small-scale OSP and OCP clusters, periodical CloudForms scale engineering efforts, and build-to-build tests with CloudForms providers for sanity checks and baselines.
- Contributed to projects under the umbrella organization called Red Hat Performance Engineering on GitHub. Evaluated various Red Hat products' performance impacted by patches for critical CVEs (vulnerabilities)—Meltdown and Spectre.
- Worked on R&D experiments like latency analysis with native versus threaded block I/O events, RH satellite performance tuning at scale, and proactive issue detection using SAR data.
- Ran MariaDB database regression tests with sysbench for various RHEL kernels and performance benchmarks for different workloads via Pbench, Fio, and perf tools.
- Co-authored industrial white paper on product scalability and contributed to open source, perf tools and automation, time series data processing tools, containerized applications, and data visualization enhancements to solutions like Grafana.
- Contributed to the distributed systems analysis team's repositories under Pbench, multivm_db_bench, es-graphite-shim, and Sarjitsu. Made FOSS contributions to Grafana, sosreport, and collectd plugin.
Technologies: Python 3, JavaScript, Red Hat OpenShift, Red Hat Satellite, Jenkins, ELK (Elastic Stack), Grafana, Docker, Ansible, Performance Engineering, Benchmark Analysis, Data Visualization, PostgreSQL, Red Hat Hybrid Cloud, OpenStack, KVM/Qemu, Sysbench, FIO, Graphite, Elasticsearch, MariaDB, Pandas, Data Engineering, Web Development, DevOps, Monitoring, Scalability, Systems Monitoring, Performance, Bash Script, Infrastructure as Code (IaC), Databases, SQL, Cloud, Technical Writing, Container Orchestration, Shell Scripting, MySQL, MongoDB, Architecture, VPN, Data Pipelines, QA Testing, Testing, Jira, Linux Server Administration, Unix, Resource Management, Bash, Cloud Services, System Administration, SSL, Cloud Computing, Cloud Architecture, Configuration Management, Kibana, Harbor, Gradle, Infrastructure, Computer Networking, Git, AWS IAM, Containerization, Django, Technical Leadership, IRC, Web Applications, Fuzz Testing, IT Operations Management (ITOM), Virtual Machines, Team Leadership, Technical Documentation, Logstash, Open-source Software (OSS), SFTP, SSH, Memcached, Linux, Orchestration, Scripting Languages, IT Infrastructure, Documentation, Full-stack Development, Platform Engineering, Deployment, AWS Monitoring, Networking, API Management, Microservices Architecture, Machine Learning, White Papers, Virtual Private Cloud (VPC), Slack, Discord, Continuous Deployment, Node.js, Hash, Capacity Planning, Large-scale Distributed Systems, Software Architecture
Experience
Contributions to FOSS on KubeCon (2021)
I was one of the top three contributors to CNCF open-source GitHub repositories during the bug bash event at KubeCon Europe 2021. I was awarded Linux Foundation credits, with which I pursued CKA, CKS, and CHFD certifications.
My projects contributed to OpenEBS, CRI-O, Buildpacks, SchemaHero, Thanos.io, Chaos Mesh, Tinkerbell, and Serverless Workflow.
LINK
• https://github.com/arcolife?tab=overview&from=2021-12-01&to=2021-12-31.
My projects contributed to OpenEBS, CRI-O, Buildpacks, SchemaHero, Thanos.io, Chaos Mesh, Tinkerbell, and Serverless Workflow.
LINK
• https://github.com/arcolife?tab=overview&from=2021-12-01&to=2021-12-31.
TrueChain | High-performance Decentralized Public Ledger (2018)
Co-authored a blockchain research paper and prototyped a dual-chain hybrid consensus architecture in Python/Go. Implemented cryptographic infrastructure, including:
• ECDSA signing (secp256k1/NIST P-256) for TBFT consensus messages with Byzantine signature aggregation
• VRF (RFC 9381) for decentralized committee selection
• SHA-256/SHA-512 hashing for message integrity
• Protocol Buffers for canonical serialization
• Permissionless PKI with encrypted validator discovery and threshold cryptography for 2/3+ BFT quorum validation
IMPACT AND DELIVERY
• Testnet Launch: November 2018, achieving 1200-1900 TPS (around 100x improvement over Ethereum)
• Mainnet Launch: March 2019 (11 months from initial draft)
• Demonstrated technical operations to secure compliance from China's Ministry of IT
• Led investor relations through fireside chats, workshops, and hackathons across Boston, Beijing, San Francisco, and Bangalore
LEADERSHIP AND COLLABORATION
• Coordinated distributed systems developers and researchers from MIT, NYU, and UC Berkeley
• Managed open-source contributors from Google, Red Hat, and VMware
• Presented "From Nakamoto PoW To Hybrid Consensus" at blockchain conferences https://www.youtube.com/watch?v=KC_wQKHeo7w
• ECDSA signing (secp256k1/NIST P-256) for TBFT consensus messages with Byzantine signature aggregation
• VRF (RFC 9381) for decentralized committee selection
• SHA-256/SHA-512 hashing for message integrity
• Protocol Buffers for canonical serialization
• Permissionless PKI with encrypted validator discovery and threshold cryptography for 2/3+ BFT quorum validation
IMPACT AND DELIVERY
• Testnet Launch: November 2018, achieving 1200-1900 TPS (around 100x improvement over Ethereum)
• Mainnet Launch: March 2019 (11 months from initial draft)
• Demonstrated technical operations to secure compliance from China's Ministry of IT
• Led investor relations through fireside chats, workshops, and hackathons across Boston, Beijing, San Francisco, and Bangalore
LEADERSHIP AND COLLABORATION
• Coordinated distributed systems developers and researchers from MIT, NYU, and UC Berkeley
• Managed open-source contributors from Google, Red Hat, and VMware
• Presented "From Nakamoto PoW To Hybrid Consensus" at blockchain conferences https://www.youtube.com/watch?v=KC_wQKHeo7w
Performance and Scale Tuning of Red Hat Satellite 6.2 and Red Hat Satellite Capsule Server (2017)
https://access.redhat.com/articles/2626101Red Hat Satellite 6.2 is the third release of a new generation of Systems Management for Red Hat Enterprise Linux (RHEL) that demonstrates measurable improvements over Red Hat Satellite 5. This document provides basic guidelines and considerations for tuning Red Hat Satellite 6.2 for performance and scale.
Part of the testing was performed on AWS EC2 instances. Here are the flavors used for testing:
• Red Hat Satellite: c3.4xlarge
• Red Hat Satellite Capsule Server: c3.4xlarge (but also tested with m4.large, and it worked fine)
My strategic responsibilities included carrying out repo sync tests and performance evaluation of storage media for database workloads. My operational work involved contributing to Ansible playbooks and setting up monitoring tools (collectd, Grafana, Graphite) in the framework.
LINK
• https://github.com/redhat-performance/satperf
This repo is used for setting up the infrastructure (satellite installation), an upload manifest, updating the repository, creating the lifecycle environments and capsules, concurrently syncing multiple capsules and repositories from the repository server, and so on. It also provides a way to measure time for tests while capturing resources using collectd.
Part of the testing was performed on AWS EC2 instances. Here are the flavors used for testing:
• Red Hat Satellite: c3.4xlarge
• Red Hat Satellite Capsule Server: c3.4xlarge (but also tested with m4.large, and it worked fine)
My strategic responsibilities included carrying out repo sync tests and performance evaluation of storage media for database workloads. My operational work involved contributing to Ansible playbooks and setting up monitoring tools (collectd, Grafana, Graphite) in the framework.
LINK
• https://github.com/redhat-performance/satperf
This repo is used for setting up the infrastructure (satellite installation), an upload manifest, updating the repository, creating the lifecycle environments and capsules, concurrently syncing multiple capsules and repositories from the repository server, and so on. It also provides a way to measure time for tests while capturing resources using collectd.
Qemu Disk I/O: Which Performs Better, Native or Threads? (2015 – 2016)
https://access.redhat.com/articles/2147661Contributed to the industrial whitepaper published by Red Hat. This involved analyzing the KVM I/O latency with native vs. threaded disk events and delivering a talk on the same at the Brno University of Technology during DevConf 2016.
LINK
• https://www.youtube.com/watch?v=RgKkfrJxR6A&t=683s
QEMU can use two different methods to submit disk I/O requests. The default method, "io=threads," uses a thread pool to submit these requests synchronously, while the alternate method, "io=native," uses a single thread to submit these requests asynchronously. We were curious if the default method provided the best overall throughput, so we tested both under a wide array of storage configurations.
PRESENTATION LINK
• https://www.slideshare.net/pradeepkumarsuvce/qemu-disk-io-which-performs-better-native-or-threads
LINK
• https://www.youtube.com/watch?v=RgKkfrJxR6A&t=683s
QEMU can use two different methods to submit disk I/O requests. The default method, "io=threads," uses a thread pool to submit these requests synchronously, while the alternate method, "io=native," uses a single thread to submit these requests asynchronously. We were curious if the default method provided the best overall throughput, so we tested both under a wide array of storage configurations.
PRESENTATION LINK
• https://www.slideshare.net/pradeepkumarsuvce/qemu-disk-io-which-performs-better-native-or-threads
Contributions to Grafana (2015 – 2018)
https://github.com/grafana/grafana/issues?q=arcolifeThis work was required as part of the performance engineering work at Red Hat, and the team internally used it for visualizing server resource utilization metrics during benchmarks.
Made several contributions to the Grafana repository on GitHub that enable the idea of visualizing nested Elasticsearch documents. This feature was missing and in popular demand per the discussions on issues and pull requests.
Made several contributions to the Grafana repository on GitHub that enable the idea of visualizing nested Elasticsearch documents. This feature was missing and in popular demand per the discussions on issues and pull requests.
Sarjitsu | Containerized Setup for Visualizing System's SAR Data (2016)
https://github.com/distributed-system-analysis/sarjitsuSarjitsu is a Dockerized setup for visualizing system activity report (SAR) data generated by sysstat and it ingests a SAR binary data file of any format and produces dynamic visualizations, where it's used within Red Hat's performance engineering team and featured on sysstat's developer blog and GitHub repo and for this work, I also contributed to Grafana's open-sourced software to work with nested Elasticsearch docs.
The app is composed of containerized instances:
• Data source for storing time series data and metadata (Elasticsearch).
• Metrics store (PostgreSQL) to store metadata about dashboards, data sources, and users.
• Front end (Grafana) that offers a dynamic visualization.
• Middleware API (Python, Flask) that builds scripted dashboards.
• Back-end web app that (Node.js, Python, Flask) helps users upload SA binary files and generate visualizations.
• Caching (Redis) solution for the web app.
• Proxy (Nginx) for the web app.
BLOGS AND TALKS
• http://arcolife.github.io/blog/2016/06/06/sarjitsu-a-project-on-visualizing-your-systems-activity/
• http://sebastien.godard.pagesperso-orange.fr/faq.html
• https://devconfin2018.sched.com/event/F74c/sarjitsu-system-activity-visualization-in-cloud
The app is composed of containerized instances:
• Data source for storing time series data and metadata (Elasticsearch).
• Metrics store (PostgreSQL) to store metadata about dashboards, data sources, and users.
• Front end (Grafana) that offers a dynamic visualization.
• Middleware API (Python, Flask) that builds scripted dashboards.
• Back-end web app that (Node.js, Python, Flask) helps users upload SA binary files and generate visualizations.
• Caching (Redis) solution for the web app.
• Proxy (Nginx) for the web app.
BLOGS AND TALKS
• http://arcolife.github.io/blog/2016/06/06/sarjitsu-a-project-on-visualizing-your-systems-activity/
• http://sebastien.godard.pagesperso-orange.fr/faq.html
• https://devconfin2018.sched.com/event/F74c/sarjitsu-system-activity-visualization-in-cloud
Docker Global Hackathon (2014 – 2015)
https://github.com/arcolife/dockerCompDeveloped a Dockerized distributed computing prototype for the Docker Global hackathon that was built on enhancing the idea of using pre-configured VM images to let volunteers contribute to micro-processing tasks that involve raw data received in chunks over the network. I was the state winner of this hackathon in Bangalore in 2014 and 2015.
The specific use case is CernVM which was developed to help collect CERN's LHC data and perform data analysis on a volunteer's computer or commercial clouds.
The prototype can be used for image processing and general data analysis in scientific computing and crowdsourcing projects.
The specific use case is CernVM which was developed to help collect CERN's LHC data and perform data analysis on a volunteer's computer or commercial clouds.
The prototype can be used for image processing and general data analysis in scientific computing and crowdsourcing projects.
CERN Open Lab Summer Student Program (2013)
Developed favorite collections and visualized user search queries in the CERN Document Server and Invenio is an open-source web-based application that implements a digital library or document server, and it's used at CERN as the base of the CERN Document Server Institutional Repository and the Inspire High Energy Physics Subject Repository.
This project aimed to add a new feature to CDS through which users could manage their favorite collections on top of existing ones. The work involved adding new features to the WebSearch module so as to achieve the stated objectives.
Later on, another task was to parse user-searched queries so as to provide end-users with a visualized pattern of searches involving globally searched terms or terms popular for a particular collection.
I also participated in CERN Webfest 2013 and won the hackathon in the data visualization category.
RELEVANT LINKS
• http://arcolife.github.io/popular-physics/
This project aimed to add a new feature to CDS through which users could manage their favorite collections on top of existing ones. The work involved adding new features to the WebSearch module so as to achieve the stated objectives.
Later on, another task was to parse user-searched queries so as to provide end-users with a visualized pattern of searches involving globally searched terms or terms popular for a particular collection.
I also participated in CERN Webfest 2013 and won the hackathon in the data visualization category.
RELEVANT LINKS
• http://arcolife.github.io/popular-physics/
Education
2010 - 2014
Bachelor's Degree in Computer Science
Amity University - Noida, India
Certifications
JUNE 2022 - JUNE 2025
Certified Hyperledger Fabric Developer (CHFD)
Hyperledger Foundation
MAY 2022 - MAY 2024
Certified Kubernetes Security Specialist (CKS)
Cloud Native Computing Foundation
MARCH 2022 - MARCH 2025
Certified Kubernetes Administrator
Linux Foundation
JUNE 2012 - PRESENT
Red Hat Certified Engineer (RHCE)
Red Hat
Skills
Libraries/APIs
Node.js, vLLM, Protobuf, Jira REST API, Asyncio, Pandas, React, jQuery, D3.js, AWS Amplify
Tools
Terraform, Ansible, Grafana, Amazon Virtual Private Cloud (VPC), NGINX, KVM/Qemu, GitHub, GitLab, Amazon Elastic Container Service (ECS), Amazon EKS, CircleCI, Artifactory, Jira, Kibana, AWS Fargate, Amazon CloudFront CDN, Git, AWS IAM, Prefect, Google Workspace, Logstash, AWS Command Line Interface (CLI), HashiCorp, Microsoft Visual Studio, HashiCorp Vault, RabbitMQ, Claude, ChatGPT, Slack, Notion, Grafana k6, Ngrok, PyPI, Confluence, Rundeck, Celery, Google Kubernetes Engine (GKE), Google Stackdriver, Red Hat Satellite, ELK (Elastic Stack), Red Hat Hybrid Cloud, Bitbucket, Helm, VPN, AWS CloudFormation, Amazon CloudWatch, Vault, SonarQube, AWS CodeDeploy, Jupyter, Geth (go-ethereum), Fluent Bit, OpenTofu, Jenkins, Sentry, Gradle, Amazon Elastic MapReduce (EMR), Meilisearch, GitLab CI/CD, VictoriaMetrics, AWS CloudTrail, Loki, Velero, Iptables, Google Cloud Composer, Amazon SageMaker
Languages
Python 3, Bash Script, Python, Bash, JavaScript, Go, Rust, TypeScript, SQL, GraphQL, Java, C++, SAML
Frameworks
LlamaIndex, gRPC, Flask, Django, Ray, Next.js
Paradigms
DevOps, Continuous Integration (CI), Continuous Delivery (CD), Microservices, Testing, DevSecOps, Fuzz Testing, Microservices Architecture, Continuous Deployment, Model Context Protocol (MCP), Event-driven Architecture, Management, Azure DevOps, DDoS, B2B
Platforms
Linux, Hyperledger Fabric, Kubernetes, Blockchain, Red Hat Linux, Drone CI, Docker, Amazon Web Services (AWS), Google Cloud Platform (GCP), Amazon EC2, Hyperledger, Unix, AWS Lambda, AWS ALB, Ollama, Blockchain Platforms, Cloud Native, Raspberry Pi, Red Hat OpenShift, Ethereum, NVIDIA CUDA, Azure, Kubeflow, OpenStack, Visual Studio Code (VS Code), Apache Kafka, Harbor, Netlify, Vercel, Google App Engine, Decentralized Exchanges (DEXs)
Storage
Elasticsearch, Amazon S3 (AWS S3), Data Pipelines, Google Cloud, ClickHouse, AWS Elastic File System, Redis, PostgreSQL, Amazon DynamoDB, Databases, MySQL, MongoDB, Amazon Aurora, On-premise, Memcached, MariaDB, Datadog, Google Cloud SQL, Ceph, Neo4j, InfluxDB
Other
Containers, Networking, Linux Administration, System Design, Prometheus, Incident Response, Elastic Load Balancers, Distributed Systems, Performance Engineering, Benchmark Analysis, Monitoring, Systems Monitoring, CI/CD Pipelines, Infrastructure as Code (IaC), Site Reliability Engineering (SRE), Cloud, Technical Writing, Container Orchestration, Shell Scripting, AWS Cloud Architecture, ECS, Machine Learning, Architecture, Load Balancers, Kubernetes Operations (kOps), QA Testing, AWS DevOps, Cost Reduction & Optimization (Cost-down), Linux Server Administration, Resource Management, Cloud Services, Decentralized Finance (DeFi), System Administration, SSL, Cloud Computing, Cloud Architecture, Configuration Management, SSL Certificates, Argo CD, Infrastructure, Computer Networking, Content Delivery Networks (CDN), Identity & Access Management (IAM), Containerization, Technical Leadership, IRC, Web Applications, FastAPI, Blockchain & Cryptocurrency, GitHub Actions, IT Operations Management (ITOM), Virtual Machines, Team Leadership, Technical Documentation, Open-source Software (OSS), SFTP, SSH, Orchestration, Scripting Languages, DNS, IT Infrastructure, Migration, Documentation, AWS Auto Scaling, Full-stack Development, Platform Engineering, Deployment, GitOps, Certified Kubernetes Administrator (CKA), Canary Deployment, Large Language Model Operations (LLMOps), Large Language Models (LLMs), AWS Monitoring, AWS Cloud Security, Virtualization, LangChain, API Management, White Papers, Virtual Private Cloud (VPC), Gemini, OpenAI, Bots, Discord, Red Hat Certified Engineer (RHCE), Cryptography, Hash, Graphics Processing Unit (GPU), Capacity Planning, RAG Architecture, Fractional CTO, Large-scale Distributed Systems, Software Architecture, Web Development, Kubespray, Network Security, Cloud Security, System Hardening, Smart Contracts, Consensus Algorithms, Practical Byzantine Fault Tolerance (PBFT), Natural Language Processing (NLP), Bintray, DMARC, Image Processing, Fault Tolerance, Data Visualization, Data Engineering, Recommendation Systems, Scalability, Performance, Traffic Monitoring, Security, IT Security, Machine Learning Operations (MLOps), GPU Computing, Amazon RDS, Generative Pre-trained Transformers (GPT), Argo Workflow, Email, Pulumi, Discord Bots, Blockchain / Chaincode, Deep Learning, Sysbench, FIO, Graphite, Bootstrap UI, Performance Tuning, Benchmarking, Front-end, Artificial Intelligence (AI), Zero-knowledge Proofs, Customer Support, Software Development, Open Source, Cloud Storage, Troubleshooting, Strapi, Cloudflare, OpenTelemetry, Zero Trust, Crypto, Supabase, HAProxy, AWS Organizations, Okta, Tailscale, Qdrant, rook-ceph, Telegram Bots, Slackbot, FAISS, Amazon S3 Cross-Region Replication (CRR), AWS WAF, Self-managed Kubernetes, Consul, Servers, Product Management
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