Currently: AI/ML Engineer Building real-time voice AI pipelines (sub-800ms latency) and RAG systems at Bhuvi IT. Previously shipped distributed 8-GPU training at Argonne National Lab (2TB astronomical data, 1 week → 20 hours) and graph-based entity resolution (0.96 F1) as standalone projects. Comfor

Location: United States Remote: Yes Willing to relocate: Open to Remote, Hybrid, and In Person roles Technologies: Python, PyTorch, LangChain, FastAPI, ChromaDB, PostgreSQL, Docker, Google Cloud Run, AWS, GCP, React.js, SQL, spaCy, NetworkX Résumé/CV: https://buvanipai.vercel.app/Buvani_Pai_Resume.pdf#view=FitH Portfolio: https://buvanipai.vercel.app/ Email: buvanipai@gmail.com MS CS (AI/ML) — Northwestern '24 | Currently: AI/ML Engineer Building real-time voice AI pipelines (sub-800ms latency) and RAG systems at Bhuvi IT. Previously shipped distributed 8-GPU training at Argonne National Lab (2TB astronomical data, 1 week → 20 hours) and graph-based entity resolution (0.96 F1) as standalone projects. Comfortable across the full stack from model training to serverless cloud deployment. Open to ML Engineering, Applied AI, AI Infrastructure, Software Engineering or Data Scientist roles.