Full-stack AI/ML Engineer

Buvani Pai is an AI/ML Engineer with an MS CS (AI/ML) from Northwestern '24. They specialize in building real-time voice AI pipelines (sub-800ms latency) and RAG systems. Their experience includes shipping distributed 8-GPU training at Argonne National Lab (2TB astronomical data, 1 week
20 hours) and developing graph-based entity resolution (0.96 F1) projects. Buvani is comfortable across the full stack, from model training to serverless cloud deployment, and is open to ML Engineering, Applied AI, AI Infrastructure, Software Engineering, or Data Scientist roles.