Built a Perplexity-style AI research assistant (DOCASK) focused on retrieval quality and reducing hallucination—not just LLM calls.
🔗
https://lnkd.in/gMwY2SuD

Developed an end-to-end RAG system using Python, FastAPI, LangChain, FAISS, and Transformers.
Improved latency (30–40%), relevance (25%), and reduced hallucinations (18%) with hybrid search, semantic chunking, and agentic pipelines.

Open to AI/ML/backend roles.

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