Swapnendu Let
@swapnendulet
I build production RAG systems, AI chatbots, and LLM-powered backend services.
What I'm looking for
I'm building production LLM systems at Anuvadini AI, where I designed parent-child chunking that improved retrieval completeness by approximately 40% and deployed containerized FastAPI microservices on Azure for a chatbot platform serving five client sites.
I've also built a multi-tenant AI chatbot platform with FastAPI, LangGraph, Qdrant, PostgreSQL, and WebSockets, plus an autonomous research assistant that uses LangGraph and multiple search providers. My work spans RAG, hybrid search, reranking, vector databases, prompt engineering, offline model optimization, and end-to-end AI deployment.
Experience
Work history, roles, and key accomplishments
Junior AI Engineer
Anuvadini AI
Feb 2025 - Present (1 year 7 months)
Designed and implemented a parent-child chunking strategy for multi-tenant document ingestion, improving retrieval completeness by ~40% on multi-step procedural content. Improved retrieval precision by combining hybrid search with a conditional reranker, and containerized FastAPI microservices on Azure for a production chatbot platform.
Education
Degrees, certifications, and relevant coursework
Bennett University
Master of Computer Applications, Computer Applications
Grade: 9.0 CGPA
Pursued Master of Computer Applications at Bennett University, achieving a CGPA of 9.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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