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 (reducing processing time from 1 week to 20 hours for 2TB astronomical data) and developing graph-based entity resolution systems (achieving 0.96 F1). Buvani is comfortable across the full stack, from model training to serverless cloud deployment, and is open to roles in ML Engineering, Applied AI, AI Infrastructure, Software Engineering, or Data Science.