Deren Singh
Verified Expert in Engineering
Artificial Intelligence Engineer and Developer
Boston, MA, United States
Toptal member since February 24, 2026
Deren is an AI engineer who turns cutting-edge LLM research into production-ready systems that scale. With deep expertise in Kubernetes, AWS, and distributed training orchestration, he architects inference pipelines that maintain over 99.9% availability across multi-region deployments. From building intelligent AI agent systems with MCP and FastMCP to designing robust MLOps workflows, Deren delivers enterprise solutions that drive measurable business impact.
Portfolio
Experience
- Python - 15 years
- Databricks - 6 years
- Artificial Intelligence (AI) - 5 years
- Machine Learning Operations (MLOps) - 4 years
- Large Language Models (LLMs) - 4 years
- Kubernetes - 4 years
- AI Engineering - 3 years
- AI Agents - 2 years
Preferred Environment
Artificial Intelligence (AI), Machine Learning Operations (MLOps), AI Engineering
The most amazing...
...project I've developed is an AI agent platform using MCP that autonomously orchestrated multi-agent workflows, transforming how an enterprise operated at scale.
Work Experience
MLOps Specialist
Slingshot Aerospace
- Designed and deployed end-to-end pipelines for custom LLM applications with advanced MLOps practices.
- Architected LLM inference systems on AWS and Kubernetes with over 99.9% availability.
- Implemented automated canary releases and rollbacks across multi-region deployments.
- Built CI/CD pipelines with automated testing frameworks to accelerate iteration and reduce risk.
- Orchestrated distributed training workflows integrating Anyscale Ray clusters with production environments.
- Developed advanced AI agent systems using agent-to-agent interaction, MCP, and FastMCP.
- Implemented MLflow for experiment tracking, model registry, and lifecycle management.
Data Engineer
National Grid
- Architected a modern data framework using Databricks, empowering eight engineering teams.
- Orchestrated end-to-end ETL cycles leveraging Snowflake, SQL, Python, and Azure SQL Database/Server.
- Optimized Databricks environments through expert configuration of jobs, workflows, pipelines, and clusters.
- Implemented CI/CD pipelines via GitHub Actions for enhanced version control and deployment.
- Established data-lake best practices that foster centralized storage and a data-driven culture.
- Leveraged Databricks Asset Bundles to boost code modularity and reusability across projects.
Founder & Lead Developer
FlightLevel Technologies
- Pioneered an industry-transforming aviation navigation platform from the ground up.
- Architected real-time data processing systems that set new standards for visualization and performance.
- Forged strategic partnerships with Nvidia, Microsoft, Google, and other tech leaders.
- Implemented Azure Cloud Services for scalable cloud infrastructure.
- Built YOLO computer vision and object reidentification algorithms for exceptional system accuracy.
- Maintained over 99.9% uptime while enforcing rigorous security protocols.
- Led the company to a successful acquisition by FlightLevel Aviation in 2022.
Cloud Developer
National Grid
- Designed, developed, and sustained multiple Microsoft Azure cloud deployments for global business units.
- Architected secure virtual networks for internet/intranet applications with specific subnets for deployment.
- Led cloud governance by addressing subscriptions, configurations, and utilization across Azure tenants.
- Built infrastructure as code using Ansible and Terraform for repeatable, reliable deployments.
- Applied full SDLC practices, including Agile sprints, Kanban boards, peer code reviews, automated builds, pipelining, testing, and CI/CD.
Software Development Engineer
Amazon Web Services (AWS)
- Built scalable database infrastructure with Amazon Aurora. Developed and managed databases and clusters across global regions, supporting critical business operations at scale.
- Implemented a comprehensive unit testing system for Aurora clusters, significantly improved code reliability, ensured the integrity of database operations, and reduced downtime.
- Designed and developed dynamic web applications. Built apps using REST, HTML, CSS, and JavaScript, integrating data via APIs to enhance user experience and functionality.
- Contributed to CI/CD pipeline practices. Ensured continuous integration and deployment of code changes, enabling high-quality software delivery in a fast-paced environment.
- Applied professional Agile and DevSecOps practices. Participated in sprints, code reviews, coding standards enforcement, and source control management across the development lifecycle.
Experience
Aircraft Camera Tracker
I leveraged YOLO object detection and reidentification algorithms to autonomously detect, lock onto, and track aircraft across the sky with high precision. The system dynamically adjusted pan, tilt, and zoom coordinates in real time based on predicted flight trajectories, enabling seamless continuous tracking without manual operator intervention.
I also engineered low-latency data processing pipelines on Azure Cloud Services to handle high-throughput video streams, ensuring reliable performance under varying weather and lighting conditions. The solution became a core component of FlightLevel's aviation navigation platform, delivering exceptional accuracy and directly contributing to the platform's industry-leading visualization capabilities.
Openpyxl-Rust
https://github.com/derens99/openpyxl-rustrjson
Education
Master's Degree in Business Administration
University of Massachusetts Lowell - Lowell, MA, USA
Bachelor's Degree in Computer Science
Boston University - Boston, MA, USA
Certifications
Microsoft Certified: Azure Data Fundamentals
Microsoft
Azure Databricks Platform Architect
Databricks
Skills
Libraries/APIs
PySpark, NumPy, Pandas, ExcelJS
Tools
AWS Deployment, Terraform, Tableau, Microsoft Dynamics, Ansible
Languages
Python, SQL, JavaScript, Snowflake, Java, HTML, CSS, Rust
Frameworks
LangGraph
Paradigms
Model Context Protocol (MCP), Automation, DevOps, ETL, Automated Testing, Distributed Computing, REST, Unit Testing, DevSecOps
Platforms
Kubernetes, Databricks, Docker, Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Vertex AI, AWS IoT
Storage
Amazon Aurora, Azure SQL, Azure SQL Databases, Redis
Other
Artificial Intelligence (AI), CI/CD Pipelines, Machine Learning, AI Agents, Large Language Models (LLMs), Machine Learning Operations (MLOps), Data Engineering, Azure Databricks, AI Engineering, Large Language Model Operations (LLMOps), AWS DevOps, Infrastructure, LangChain, Retrieval-augmented Generation (RAG), Agentic RAG Systems, RAG Pipelines, Vector Databases, Natural Language Processing (NLP), Natural Language Queries, Natural Language Understanding (NLU), Analytics, Dashboards, Data Analytics, Financial Data, Image Generation, 3D, Diffusion Models, AI Design, AI Programming, Gemini Enterprise, Agentic AI, Data Science, RAG Architecture, Data Visualization, Amazon Bedrock AgentCore, Anthropic, RAG Systems, Generative Artificial Intelligence (GenAI), OpenAI, Prompt Engineering, Business, MLflow, Computer Vision, Object Detection, YOLOv5, IP Cameras, Optics, PTZ Cameras, Cloud, Content Delivery Networks (CDN), Azure Data Lake, Azure Compute Services, Microsoft Azure Cloud Server, Serverless, Cloud Security, Infrastructure as Code (IaC), Virtual Machines, Azure Virtual Machines, API Design, Open Source, Memory Management
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