Gabriel Ferns is a Member of Technical Staff and ML-systems engineer with 12 years of experience building production machine learning infrastructure and performance-critical systems in the Bay Area. His career spans startups and hyperscale labs—from Groq and Atomic AI to Meta’s MSL Infra PyTorch team and now Reflection AI—where he blends systems programming with deep learning tooling. He excels at bridging low-level engineering and ML frameworks to accelerate model deployment and runtime efficiency. A dual BS in Computer Science and Mathematics from UW–Madison, he brings strong algorithmic thinking informed by early research and internship work on recommendation engines and scientific software. Notably, his background suggests a comfort moving between hardware-near optimization and high-level ML stack improvements, making him effective at rescuing bottlenecks across the stack.
12 years of coding experience
12 years of employment as a software developer
BS Computer Science and Mathematics, BS Computer Science and Mathematics at University of Wisconsin-Madison
Contributions:28 commits, 26 pushes, 1 branch in 13 days
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Gabriel Ferns - Member Of Technical Staff at Reflection AI