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nripankadas07/README.md

Dr. Nripanka Das

AI Builder | Product Engineer | Agent Systems Architect

Building intelligent systems that ship. From multi-agent orchestration to full-stack SaaS � I design, build, and deploy AI-native products end to end.

LinkedIn X

What I Build

I work at the intersection of AI engineering and product. My focus is on systems that are useful in production � not demos, not proofs of concept. Agents that run autonomously, pipelines that scale, tools that people actually use.

Current obsession: Multi-agent architectures � designing fleets of specialized AI agents that coordinate, self-monitor, and produce real output without human babysitting.

Tech I Work With

AI/ML          Python · PyTorch · LangChain · RAG · Vector DBs · Fine-tuning · Embeddings
Backend        FastAPI · Node.js · Express · PostgreSQL · Redis · WebSockets
Frontend       Next.js · React · TypeScript · Tailwind
Infrastructure Docker · GitHub Actions · Vercel · Linux · Shell scripting
Agent Systems  Multi-agent orchestration · Cron scheduling · Memory systems · Tool use

Featured Projects

Project What It Does Stack
rag-pipeline Production RAG system with chunking strategies, vector store abstraction, and retrieval evaluation Python · FAISS · FastAPI
agent-framework Lightweight agent orchestration library with tool registration, memory, and planning loops Python
ai-toolkit CLI for everyday AI/ML tasks � embeddings comparison, token counting, model output diffing Python · Click
startup-dashboard SaaS metrics dashboard tracking MRR, churn, LTV, CAC with real-time charts Next.js · TypeScript · Recharts
prompt-eval Prompt engineering toolkit � version control, A/B testing, and performance tracking for prompts Python · FastAPI

How I Think About Building

I don't believe in building things that only work in a notebook. Every project I ship has a CLI or an API, handles errors gracefully, includes tests, and comes with documentation that assumes the reader's time is valuable. I care about code that runs at 2 AM without waking anyone up.

Open to collaborations on AI tooling, agent systems, and developer infrastructure.

Pinned Loading

  1. agent-framework agent-framework Public

    Lightweight agent orchestration with tool registration, memory, and ReAct planning loops

    Python

  2. ai-toolkit ai-toolkit Public

    CLI toolkit for everyday AI/ML tasks — embeddings comparison, token counting, model output diffing, and prompt benchmarking

    Python

  3. feature-flags feature-flags Public

    Lightweight, type-safe feature flag SDK for TypeScript — local rules, percentage rollouts, user targeting, and real-time updates

    TypeScript

  4. prompt-eval prompt-eval Public

    Lightweight LLM prompt evaluation framework — pluggable judges, structured reports, zero heavy dependencies

    Python

  5. rag-pipeline rag-pipeline Public

    Production RAG pipeline with pluggable chunking, vector stores, and retrieval evaluation

    Python

  6. startup-dashboard startup-dashboard Public

    SaaS metrics dashboard tracking MRR, churn, LTV, CAC with interactive charts

    TypeScript