Chinmay Bhargava

At FICO, I optimized a high-volume C++ data comparison pipeline by 82% across a 153M-record production dataset using memory-mapped files, hash tables, and multithreading.

I built a reusable JNI integration that lets a native C engine execute multiple Java models, removing duplicate implementations. I also validated Amazon MemoryDB disaster recovery across 400K records and automated SageMaker test configuration generation with Python, cutting setup time by 30%.

I've built agentic RAG document retrieval with Python, LangChain, LangGraph, FastAPI, FAISS, and OpenAI models, with evaluation for retrieval quality and grounded responses. My projects also include a Redis- and Lua-based distributed rate limiter and a MERN note-management application with JWT authentication.

I'm comfortable working across C++, Java, Python, AWS, REST APIs, system design, and performance optimization, backed by 1,000+ solved DSA problems.