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Kaushik Sridasyam
Verified Expert in Engineering
Software Developer
Austin, TX, United States
Toptal member since July 3, 2022
Bio
Kaushik is a senior software engineer experienced in creating and executing innovative software solutions to enhance business productivity. He has developed intuitive, in-product user experiences, architected user-facing dashboards, and leveraged AWS Lambda, Elasticsearch, and DynamoDB to create a robust, highly scalable correlation engine. Kaushik is well-versed in all aspects of the software development lifecycle and end-to-end product management, from concept to development and delivery.
Portfolio
CloneOps.AI LLC
Node.js, Python, SQL, Amazon Web Services (AWS), MongoDB, Redis, BullMQ, NATS...
Medable
MongoDB, JavaScript, Amazon S3 (AWS S3), Node.js, API Integration...
Odeko
Apache Kafka, Kafka Streams, Node.js, Docker, Docker Compose, JavaScript...
Experience
- Python 3 - 7 years
- JavaScript - 7 years
- AWS Lambda - 5 years
- Ruby on Rails 4 - 5 years
- React - 5 years
- TypeScript - 3 years
- NestJS - 2 years
- Elasticsearch - 2 years
Preferred Environment
MacOS, Visual Studio Code (VS Code), Oh My Zsh, iTerm2
The most amazing...
...project I've worked on integrated Looker into a well-known freelance agency, enabling customers to create visualizations and dashboards to gain insights.
Work Experience
Back-end Developer
2024 - 2026
CloneOps.AI LLC
- Designed and delivered both v1 and v2 of a workflow automation platform for a transportation company, evolving it from an MVP into a scalable production system supporting AI agent call orchestration.
- Improved development workflows with CI/CD pipelines, infrastructure automation, and monitoring, accelerating iteration speed and system stability.
- Implemented end-to-end billing flows with Stripe, including subscription management, invoicing, and usage-based billing, ensuring seamless revenue capture and reducing payment failures.
- Integrated multiple data sources into custom reporting dashboards, providing stakeholders with clear insights into system performance and workflow efficiency.
- Used Vite with React for the front end and Express.js and Nest.js services for the back end. Built an event-driven architecture for communication between many microservices.
Technologies: Node.js, Python, SQL, Amazon Web Services (AWS), MongoDB, Redis, BullMQ, NATS, NestJS, Next.js, Kubernetes, CI/CD Pipelines
Senior Software Engineer | Tech Lead
2022 - 2024
Medable
- Led a team to build the integrations platform and worked with multiple vendors to create reusable connectors written in Python and JavaScript.
- Designed, implemented, and improved the serverless applications written in Python and JavaScript with a MongoDB database that, combined with front-end apps, helped create a functional and seamless experience for the end user.
- Demonstrated the ability to produce secure, scalable, and reliable solutions for high-availability systems and services.
- Compiled and analyzed data, processes, and code to troubleshoot, scale, mature, and improve current back-end applications and processes.
- Provided clear and documented interfaces that are easy to consume for front-end developers.
- Collaborated with developers and other team members to establish objectives and design a more functional, cohesive code and platform.
- Developed ideas for new programs, products, or features by monitoring industry developments and trends.
- Participated in continuing education and training to remain current on best practices in a regulated industry, learn new programming languages, and better assist other team members.
- Participated in hiring and mentoring junior engineers.
- Oversaw complex scope and scale. Led a cross-functional team in developing connectors for multiple pharmaceutical systems.
Technologies: MongoDB, JavaScript, Amazon S3 (AWS S3), Node.js, API Integration, Technical Leadership, Amazon Web Services (AWS), Automation, Full-stack, Tailwind CSS, Lambda Functions, Web Scraping, REST APIs, Ruby on Rails (RoR), CI/CD Pipelines
Software Engineer
2021 - 2022
Odeko
- Investigated the migration to microservices from a monolithic service by leveraging Confluent Kafka.
- Evaluated tradeoffs between change data capture and event sourcing, given the timeline to migrate these services.
- Created local development infrastructure with Docker-compose to demonstrate the capabilities of different approaches.
- Demonstrated the use of Kafka Streams and Confluent ksqlDB to create powerful consumers and producers for event data with the merging of streams.
Technologies: Apache Kafka, Kafka Streams, Node.js, Docker, Docker Compose, JavaScript, Express.js, Redux, Full-stack, Lambda Functions, MySQL, REST APIs, Ruby on Rails (RoR)
Software Engineer II
2018 - 2021
HackerRank
- Architected and built an integrations platform built on AWS Lambda, written in Python and JavaScript, with an event-driven architecture to export candidate data to multiple application tracking systems (IBM Brassring, Workday).
- Revamped the Rails side integration of CodePair exports to a Python-based Django server, allowing recruiters to filter candidates in the UI and export to CSV. Reduced the average export time from over five minutes to under 10 seconds.
- Migrated multiple databases into a Redshift data warehouse. This involves building ETL pipelines with Airflow written in Python to backfill data and have daily incremental replication.
- Built a site-wide candidate search in Rails, enabling recruiters to search for candidates and their activity across all HackerRank products.
- Loaded Google Analytics data from BigQuery to Aurora DB for License Utilization (incremental and backfill) and created a Looker dashboard. This enabled our sales and customer success team to understand how customers use our product.
- Expanded on the "subscribe-now" flow to allow users to quickly sign up and subscribe using Stripe to new products. Implemented integrations to push data using Demandbase, Marketo, and Salesforce.
- Developed an intuitive, in-product user experience to help customers maximize their understanding of the company's Work product on signup. Built an extensible experimentation module to deploy and test new features quickly.
- Architected the test health dashboard, implementing Rails models to read data from Redshift and building modular React components to handle large datasets, giving customers a data-driven approach to improve candidate experience and assessment quality.
Technologies: JavaScript, Node.js, Python 3, Django, Amazon Web Services (AWS), Amazon S3 (AWS S3), Amazon DynamoDB, Redshift, Apache Airflow, AWS CloudFormation, AWS Lambda, Amazon Kinesis, Amazon Aurora, Amazon API Gateway, AWS Key Management Service (KMS), Amazon Simple Queue Service (SQS), Google BigQuery, Looker, Ruby, Ruby on Rails 4, Python, SQL, Express.js, Redux, Terraform, Amazon Elastic Container Service (ECS), API Integration, Google Cloud Platform (GCP), Lambda Functions, MySQL, Web Scraping, REST APIs, Ruby on Rails (RoR), Instagram API, Facebook API, CI/CD Pipelines
Software Developer
2017 - 2017
Rook Security
- Built a cloud security event processing and alerting platform that analyzes millions of log data attributes from a client's computer network looking for security-related events.
- Developed a web app to onboard new clients and manage their respective firewall architectures and correlation rules.
- Leveraged AWS Lambda, Elasticsearch, and DynamoDB to create a robust, highly scalable, highly available correlation engine to detect and notify when alerts and rules are triggered.
Technologies: JavaScript, AWS Lambda, Amazon Simple Queue Service (SQS), Elasticsearch, Amazon DynamoDB, SQL, Amazon Web Services (AWS), Express.js, Redux, Lambda Functions, REST APIs, Ruby on Rails (RoR), Vultr
Experience
Embedded Looker Dashboards for an Online Freelance Agency
The Insights tab on the company's home page provides statistical dashboards from your business's utilization of their account by your recruiting and technical staff. As a company administrator, you can access the Insights page to gain analytical knowledge of how your hiring teams are using the company to promote your organization to hire the best talents while saving revenues. These data visualization tools and dashboards give you the flexibility to drill down into your data while maintaining a secure, birds-eye view of operations.
FirstAm Title Insurance Evaluation Application
A Node.js application deployed on AWS Lambda. As a back-end developer, I was responsible for creating and updating endpoints to support the web UI application and introducing a migration framework to support safe and repeatable updates to the database. I collaborated with the data team, who populated certain tables and updated the database schema and ORM models, and created views for the front end to consume.
Education
2013 - 2017
Bachelor's Degree in Computer Science
Michigan State University - East Lansing, Michigan, USA
Skills
Libraries/APIs
Node.js, React, REST APIs, Instagram API, Facebook API
Tools
Amazon Simple Queue Service (SQS), Looker, Docker Compose, AWS CloudFormation, AWS Key Management Service (KMS), Kafka Streams, Terraform, Amazon Elastic Container Service (ECS), Vultr, Apache Airflow, AWS Glue
Languages
JavaScript, Python 3, Ruby, TypeScript, Python, SQL, HTML, HTML5
Frameworks
Ruby on Rails 4, Express.js, Redux, Ruby on Rails (RoR), NestJS, Next.js, Tailwind CSS, Django
Platforms
Visual Studio Code (VS Code), AWS Lambda, Docker, Amazon Web Services (AWS), Google Cloud Platform (GCP), Apache Kafka, Kubernetes
Storage
Amazon DynamoDB, PostgreSQL, MySQL, Amazon S3 (AWS S3), Amazon Aurora, Elasticsearch, Redshift, MongoDB, Redis
Paradigms
ETL, Automation
Other
Amazon API Gateway, API Integration, Full-stack, Lambda Functions, CI/CD Pipelines, Amazon Kinesis, TypeORM, Technical Leadership, Web Scraping, Google BigQuery, Identity & Access Management (IAM), APIs, Front-end, BullMQ, NATS
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