I build production-grade AI agent systems, RAG pipelines, and scalable backends that ship to production
— not prototypes that break after a demo.
Senior AI/ML engineer with experience building systems for enterprises and government organizations. Led AI development for a research platform in collaboration with BITS Pilani and India's Ministry of Tribal Affairs, processing 100K+ government documents. Previously led backend and AI infrastructure at multiple startups.
BITS Pilani — Bachelor of Engineering
- AI Agent Systems — Multi-agent orchestration, autonomous workflows, tool-use agents with LangChain
- RAG Pipelines — Document ingestion, vector search, hybrid retrieval, grounded Q&A systems
- Production Backends — High-performance APIs, microservices, inference serving at scale
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Multi-agent orchestration platform with tool access control, Docker isolation, planner-driven workspace generation, mission Kanban board, and real-time communication. Next.js 15 · Express · Socket.IO · PostgreSQL · Prisma · Docker |
Production-ready monorepo architected for human and AI agent collaboration — zone ownership, vector memory (ChromaDB), skills system, and multi-agent coordination. FastAPI · Next.js · ChromaDB · Docker · pnpm |
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Custom IDE built on VS Code with integrated AI agent workflows — task execution, live agent logs, and command palette integration for AI-assisted development. TypeScript · Electron · Node.js |
CLI tool that generates production-ready, AI-friendly project scaffolds. Go from idea to codebase in under 2 minutes. Published on npm. Go · npm · Docker |
Languages: Python, Go, TypeScript, SQL
AI/ML: LangChain, OpenAI API, RAG, ChromaDB, Pinecone, Weaviate
Backend: FastAPI, Gin, Express, PostgreSQL, Redis, REST, WebSocket
Infrastructure: Docker, Kubernetes, AWS, GCP, Azure, CI/CD
Lead Developer — SmartQnA 2025 – 2026
Built an AI-powered Q&A platform using RAG. Improved answer relevance by 40% through optimized chunking and re-ranking strategies.
Senior Software Engineer — Aadi-Vaani 2024 – 2025
Led AI integration for a government research platform (BITS Pilani + Ministry of Tribal Affairs). Built RAG pipeline over 100K+ government documents.
Lead Backend Developer — CogniX 2024
Built ML inference serving infrastructure. Reduced model latency by 60% and backend resource consumption by 45%.