I build AI-powered tools that turn conversations and research into useful insights. My work combines data analysis, evidence-backed answers, and practical web interfaces.
- AI applications — Grounded Q&A and retrieval across chats and research documents.
- Full-stack development — React interfaces backed by Node.js and Python APIs.
- Data analysis — Conversation analytics and hands-on NumPy and Pandas notebooks.
Across my projects: useful answers, traceable evidence, and clear interfaces.
Conversation analytics & grounded AI
Turn WhatsApp exports into interactive analytics and evidence-backed answers.
Inside the project
- Conversation trends, response-time analysis, and interactive visualizations.
- Message search and retrieval-backed Q&A in English, Hindi, and Hinglish.
- A React dashboard paired with a Node.js/Express API and Gemini integration.
Built with: React · TypeScript · Node.js · Express · Recharts · Gemini
PDF research & evidence retrieval
Explore research PDFs with source-linked analysis, evidence search, and related-paper discovery.
Inside the project
- Local PDF retrieval using TF-IDF and BM25.
- Optional AI synthesis grounded in retrieved evidence.
- Literature discovery through OpenAlex, Crossref, and arXiv integrations.
Built with: Python · FastAPI · React · TypeScript · PyMuPDF · scikit-learn
Hands-on practice with the foundations behind data analysis:
- NumPy — Arrays, broadcasting, statistics, and vectorization.
- Pandas — Data cleaning, transformations, grouping, and joins.
Contact links coming soon.


