Ankit A.

I've spent 10+ years building web products end to end — and the last few making sure the AI features I ship actually survive contact with production. My core stack is Python (FastAPI) on the backend and React/Next.js with TypeScript on the frontend. I design REST and GraphQL APIs, model data in PostgreSQL and MongoDB, and keep services fast with Redis and event-driven patterns using RabbitMQ and Kafka. Most of my current work sits at the intersection of product engineering and GenAI. I build chatbot backends on RAG pipelines with pgvector, integrate LLMs from OpenAI, Anthropic (Claude), and Google (Gemini), and orchestrate multi-step agents with LangGraph. I've built an MCP server with dynamic tool loading secured via OAuth 2.1, plus copilot features and an AI workflow builder for internal teams. I care about evals, guardrails, and predictable behavior — demos are easy, reliability is the job. On the infrastructure side I work across GCP and AWS, containerize everything with Docker, run workloads on Kubernetes, and keep releases boring with GitHub Actions CI/CD. Earlier in my career I led a product team for four years, so I'm comfortable owning delivery, mentoring, and talking to stakeholders — not just writing code. Open to senior engineering roles and AI product work. Happy to connect.