Hi, I'm
Pritiranjan Mahanta
Senior Python Developer and AI Engineer in Kolkata
I teach LLMs to read the fine print, and then make them show their sources.
Ask my resume
A tiny retrieval demo. It searches my resume and only answers from what it finds, so it won't make things up.
A bit about me
I've spent 6+ years writing Python that ends up in production. I started at Pinaxo Algo in Bhubaneswar, building Django apps for financial analytics and reporting, and learned early that tidy backend logic pays for itself later.
In 2022 I joined Navsoft (NavAI). These days I build LLM products from end to end: FastAPI and Django services, document ingestion, RAG pipelines, and agent workflows in LangChain and LangGraph. Along the way I've built a conversational BI platform, a tender and bid automation tool, and a real-time CCTV analytics system on NVIDIA DeepStream.
My favorite kind of problem is a loosely defined one. Bring me a fuzzy business question and I'll take it through a POC and into production, debugging and performance tuning included.
My toolbox
Tap any skill to see which projects it shows up in. The matching project cards will pop out below.
Pick a skill and I'll point you to where I used it.
How I got here
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2007 - 2011
B.Tech in Information Technology
Biju Patnaik University of Technology (BPUT), Odisha
Four years of IT fundamentals, and the foundation for everything that came after.
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May 2020 - Feb 2022
Software Developer
Pinaxo Algo, Bhubaneswar
Python and Django apps for financial analytics and business reporting.
- Built clean, maintainable backend logic for domain-specific financial workflows.
- Created data processing components, custom analytics logic and reporting features.
- Worked closely with stakeholders to pin down requirements and then deliver them.
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Mar 2022 - Present
Senior Python Developer / AI Engineer
Navigator Software Pvt. Ltd. (Navsoft / NavAI)
LLM products end to end, from the first POC to the production pager.
- Build and maintain FastAPI and Django services for several NavAI products, with containerized deployments, database layers and event-driven integrations.
- Design LLM pipelines in LangChain and LangGraph for conversational analytics, agentic workflows, document understanding and retrieval-based Q&A.
- Work directly with product, data and business teams to turn client requirements into POCs, then into production modules.
- Own much of the production side: performance tuning, deployment support, data ingestion, API orchestration, debugging and secure handling of multi-source business data.
Things I've built
Got a loosely defined problem?
Good, that's my favorite kind. Tell me what you're trying to figure out, and I'll tell you how I'd get it from POC to production.