Gayatri C Chougule

AI / ML & LLM Tools: Agents, LangGraph, LangChain, RAG Pipelines, Tools, LLM Models, Sentence Transformers, Hugging Face, Vector Databases (FAISS, ChromaDB, etc.), Streamlit, FastAPI, Data Loaders, Text Splitters, Prompts, Output Parsers, Pandas, numpy, scikit, seaborn, Google Colab.
Languages: Python, C#, SQL, Java, JavaScript, HTML, CSS, OCaml, Rust.
Frameworks & Tools: Git, GitHub, AWS, Linux CLI, .NET, Streamlit, Tableau, DevExpress, Qiskit.
Databases: SQL, MsSQL, SQLite, PostgreSQL, MongoDB.
Mathematical Skills: Data Modeling, Optimization Techniques, Statistics & Probability, Real Analysis, Applications and Proofs for Linear Algebra, Discrete Structures.
Advanced Topics: Machine Learning, Artificial Intelligence, Numerical Analysis, Algorithm Analysis, Database Management, Data Science, Data Ethics, Advanced Data Structures.

Health Guru AI: Ayurvedic Remedies Assistant

Built and deployed a dual-mode AI retrieval assistant using LangChain (precise matches) and LangGraph (intelligent fallback) over Ayurvedic remedy texts. Users enter symptoms, body type, and preferred remedy type, if no exact match exists, the system broadens its search adaptively, delivering remedies with 94% recall across 50 cases. Hosted on AWS EC2 with a user-friendly Streamlit UI.

GitHub Video Try It Yourself!

CiteWise: Local AI Research Companion

A local-first AI research assistant that indexes research PDFs into ChromaDB for semantic search with page-level citation metadata. Users upload papers and query via a Streamlit UI, retrieving top-K passages with sources/pages for accurate referencing. Evaluated on 12 queries with 91.7% Recall@5 and ~79% coverage. Built with Python, Streamlit, ChromaDB, Sentence-Transformers, PyMuPDF, and LangChain, showcasing a full pipeline from PDF → Chunk → Embed → Query → Retrieve → Display.

GitHub Video

Health Guru AI: Ayurvedic Remedies Assistant

CiteWise: Local AI Research Companion

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