Summary
Holden Grissett is a software engineer with a decade of hands-on experience building cloud-native infrastructure, backend services, and tooling, now focused on machine learning and numerical modeling. He blends strong systems instincts—Linux administration, Terraform, AWS, and Rust—with applied research on vision-language models for reinforcement learning and virtual staining for medical imaging. Holden has interned on ML and numerical modeling at SpaceX and contributed production Rust and Golang services at UCLA and Formation, respectively, demonstrating an ability to move research prototypes into reliable tooling. He’s comfortable across the stack from low-level algorithmic work (published communications research) to scalable cloud deployments, and he often chooses performant languages like Rust to accelerate both speed and robustness. Based in Los Angeles, he pairs a dual CS/Physics background from UCLA with pragmatic engineering that reduces operational risk and cost while advancing ML-driven applications.
10 years of coding experience
3 years of employment as a software developer
Associate of Science - AS Computer Engineering, Associate of Science - AS Computer Engineering at Berkeley City College
University of California, Los Angeles
English