Full Stack AI/ML Engineer

Buvani Pai holds an MS in CS (AI/ML) from Northwestern '24 and is currently an AI/ML Engineer. 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, significantly reducing processing time for 2TB astronomical data, and developing graph-based entity resolution with a 0.96 F1 score. 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.