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Manas Kumar Sherla
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
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About
Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).
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Key Strengths
- Built and deployed automated resume-to-job matching system using vector search (FAISS) and cosine similarity
- Solved large-scale job scraping challenges across varied HTML structures and IP blocking (rate limiting/waits, headless Selenium)
- Designs AI agents as modular state machines with runtime guardrails via Pydantic structured outputs
- Evaluates agent/LLM outputs using LLM-as-a-judge against a golden dataset (effective for tone/semantics in 3D avatar project)
- Applies RAG with chunking + vector DB to reduce hallucinations
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