AI engineer building LLM systems that hold up in production.
I design and build LLM systems end to end: agentic workflows, document intelligence, retrieval, and the evaluation that shows whether any of it works. I care about what decides success in production: cost, latency, observability and knowing when an answer is wrong.
I currently work at Stozia, and I'm most interested in data systems for agents: retrieval over documents that change, and evaluating agents at scale. On the side I write about what I learn and build tools like these



Find me on GitHub, LinkedIn and X, or write to me at bprathamesh2003@gmail.com.
Experience
Founding Engineer · Stozia
Jun 2025 — PresentAI-agentic sourcing platform for manufacturing procurement
Selected work
All projects →What I work on
Agentic workflows•LangGraph agents that read documents, compare options and draft decisions.
Document intelligence•Multimodal pipelines that turn messy PDFs into structured, checkable data.
Retrieval•Hybrid full-text and vector search over documents that keep changing.
Evaluation•Labelled datasets and harnesses that pick models on accuracy, latency and cost.
Contact
Building something with AI? I'm always happy to talk shop.