I build end-to-end ML systems from NLP pipelines and RAG agents to statistical models and deployed applications.
- 🤖 NLP & LLMs - RAG pipelines, LangChain, LangGraph, sentiment analysis
- 📊 Data & ML - Scikit-learn, feature engineering, model evaluation, benchmarking
- 📝 Document AI - OCR, contract intelligence, PDF parsing
- 📈 Quant & Stats - Monte Carlo simulation, probability modeling, financial analysis
- 🔬 Research Intern @ University of Victoria - Music Information Retrieval
- 🌾 AI Systems Intern @ ICAR - Building RAG-based academic assistant for 1,000+ students
- 💼 ML intern @ FusionAIX(on-site, Hyd, Telangana)
| Project | What it does |
|---|---|
| Customer Review Sentiment Analyzer | NLP classifier on Amazon reviews with 88.78% accuracy |
| Contract Intelligence | Legal NLP pipeline, OCR, classification, 84 languages |
| MIR Benchmarking Study | Beat-tracking evaluation on 993 tracks (UVic Research) |
| Dead Heat Analysis | Monte Carlo + Kelly Criterion on 500+ historical records |
