Full-stack developer focused on AI-driven products and the data plumbing behind them. Final-year CS at KL University, two internships in, currently shipping side projects between exams.
Wrapped up an AI-first CRM for pharma field reps — a read-only interaction form driven entirely by a LangGraph agent. Reps describe a visit in plain English and the assistant extracts, edits, and saves every field. Eight tools, full CRUD to Postgres, running on a Groq LLM.
Read →Spent the day getting a LangGraph agent to route cleanly across eight tools. The small models kept looping instead of stopping; gpt-oss-20b turned out to be the sweet spot—reliable routing without the 70B price tag. The real trick was a strict system prompt and an edit tool that merges corrections instead of overwriting the whole form.
Read →Spent a few hours understanding FastAPI beyond CRUD examples—dependency injection, request validation with Pydantic, async endpoints, middleware, and project structure. Feels like a much cleaner fit for AI backends than Flask.
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