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Varun Mahankali
Junior Full-Stack Software Engineer specializing in React, Node.js, AWS, and Generative AI
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About
Built and production-deployed a Streamlit-based PDF RAG chatbot using LangChain (FAISS, embeddings, prompt templates) and OpenAI, optimizing Streamlit’s stateless behavior by caching vector DB + chat history to cut latency and API cost. Demonstrates a rigorous evaluation mindset (gold datasets, unit tests, LLM-as-judge, groundedness KPIs) and has experience communicating privacy/accuracy safeguards (RBAC, data masking, citations) to a non-technical client at Kalven Technologies.
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Key Strengths
- Built and deployed a PDF-based conversational chatbot (LangChain + OpenAI) via Streamlit
- Reduced latency and API costs by caching embeddings/vector DB and chat history using Streamlit session state
- Designed RAG pipelines using LangChain components (text splitting, embeddings, FAISS retrieval, prompt templates)
- Evaluation-driven approach with gold datasets, unit tests, and LLM-as-a-judge for semantic quality
- Uses measurable reliability KPIs (task success rate, groundedness) and monitors latency/token efficiency
- Addresses privacy and trust concerns with RBAC, data masking, and grounded responses with citations
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1 publication
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