Andrew Gaut is a Founding Research Engineer with ~8 years of experience building and deploying ML systems and infrastructure across startups and tech giants like NVIDIA and Google. He blends research grounding in NLP and bias mitigation—co–first author on two ACL papers—with hands-on expertise training LLMs, serving SOTA embeddings, and optimizing inference pipelines using Kubernetes, Slurm, and Spinnaker. At NVIDIA he scaled multi-GPU training with tensor and pipeline parallelism and re-architected services to cut response latency threefold; at Google he added an LLM-derived signal that improved short-video retrieval coverage. Comfortable across the stack, he writes backend services in Python, Go, Java/Spring Boot and deploys them with Docker, Helm, and CD tooling, and he’s currently collaborating with a Stanford professor and founder to commercialize text embeddings. Based in Palo Alto, he combines academic rigor with product-focused infrastructure work that moves models from research into production.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at UC Santa Barbara
Master of Science - MS Computer Science (Artificial Intelligence), Master of Science - MS Computer Science (Artificial Intelligence) at Stanford University
Contributions:18 PRs, 92 pushes, 11 branches in 5 months
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Andrew Gaut - Founding Research Engineer at Voyage AI