Evin Sellin is a Senior Software Engineer specializing in ML platform engineering and MLOps with 12 years of experience building production-grade model lifecycle systems at scale. Based in San Francisco, he currently helps unify MLOps practices and core datasets at Discord, focusing on LLM deployment, serving, and metering. His background spans low-latency real-time ML systems, contextual bandits, and pipeline automation (Spark, Airflow, FastAPI), and he has a surprising depth in performance-critical frontend work from prior roles at YouTube and Procore. A lifelong math-and-computing nerd and pragmatic engineer, he’s known for turning research-proof ideas into reliable, tested production services and even authored a client-side feature query language during his time at Vidora.
12 years of coding experience
7 years of employment as a software developer
Pasadena City College
Bachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at UC Santa Barbara
Contributions:158 commits, 9 PRs, 185 pushes in 4 years 6 months
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