BONILA VINITH

I've built and deployed three live AI and analytics products: DocMind, a document-grounded RAG assistant; VINI AI, an NLP-first voice assistant; and AutoBI, an automated business intelligence platform.

For DocMind, I engineered hybrid FAISS and BM25 retrieval with Reciprocal Rank Fusion and cross-encoder reranking, achieving recall@5 of 1.00 and MRR of 0.96. I delivered FastAPI services, Docker packaging, automated tests, and GitHub Actions CI.

In VINI AI, I built a modular NLU pipeline with intent classification, spaCy NER, slot extraction, speech-to-text, text-to-speech, SQLite persistence, and live web-search RAG. I also created data analytics dashboards using SQL, Python, Power BI, DAX, and Excel.

My ONGC internship gave me firsthand exposure to SCADA-based monitoring and upstream production operations. I'm seeking early-career AI engineering, machine learning, and data science roles where I can ship practical systems end to end.