Sanjana Waghmare

BS Data Science & Applications student · GenAI Engineering · LLM Systems & Agentic AI

Pune, Maharashtra, India

@sanjana_waghmare

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About

BS Data Science & Applications student at IIT Madras building LLM systems, including RAG chatbots and multi-agent research pipelines. Experience spans the ML lifecycle from data engineering and model benchmarking to deployment with Streamlit and FastAPI.

Education

2027

BS in Data Science & Applications

IIT Madras

Data Science & Applications · 2023 – 2027

Data Science & Applications · 2023 – 2027

Skills

<3 months

SQL RAG MCP NumPy Ragas Faiss SMOTE Python Pandas Plotly FastAPI PyTorch XGBoost Streamlit LangChain LangGraph AI Agents Matplotlib TensorFlow OpenAI API scikit-learn Random Forest Semantic Search Vector Databases Function Calling Prompt Engineering Agentic AI Systems Model Benchmarking Feature Engineering Hugging Face Transformers API Integration Understanding

Tools / apps / platforms

<3 months

Git Docker GitHub ChromaDB GitHub Actions

Projects

COVID-19 Epidemic Time-Series Forecaster

Facebook Prophet, Pandas, Plotly, Streamlit, Python

Time-series forecasting project using WHO epidemiological data, interactive EDA, Prophet modelling, and a Streamlit application for scenario exploration.
Customer Churn Prediction System

Scikit-learn, XGBoost, Random Forest, SMOTE, Streamlit, Python

Full-cycle churn classification pipeline on the IBM Telco dataset with preprocessing, model benchmarking, serialisation, and a Streamlit dashboard for business users.
Multi-Agent Research Assistant

LangGraph, LangChain, OpenAI API, Tool Calling, FAISS, Python

Multi-agent research pipeline with a Supervisor Agent orchestrating web search, retrieval, and synthesis sub-agents using structured tool-calling and evaluation harnesses.
RAG Document Intelligence Chatbot

LangChain, FAISS, ChromaDB, OpenAI API, HuggingFace, Streamlit, Python

Production-grade end-to-end RAG pipeline for PDF ingestion, semantic chunking, vector retrieval, and context-grounded answer generation; includes modular codebase, tests, and a public Streamlit demo.

⚽ Extracurricular activities

Ignite 64 Global AI Hackathon 2026

Selected from a competitive global applicant pool to build a GenAI-powered solution in a 48-hour sprint as part of a 4-member team.
SBI Global Fintech Hackathon (GFC) 2026

Built an LLM-powered fintech prototype using RAG and agentic tool-calling workflows for a real-world banking use case.
IIT Delhi Global AI Safety Hackathon 2026

Applied alignment and evaluation frameworks to stress-test LLM-based systems for robustness and reliability in a team setting.

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