Eugene Fairley is a software engineer based in San Francisco with a decade of experience building scalable data and ML-driven systems. He has shipped federated analytics pipelines at Google that processed natural language from millions of devices and led integrations that improved data integrity and on-device ML features. At Linqia and Straia he built recommendation and automated data-sync systems, and most recently developed an LLM-powered query interface and evaluation pipeline that turned hours of SQL work into seconds for education admins. He also experiments at the intersection of generative media and tooling—having prototyped an image-to-video pipeline for ComfyUI and currently working on independent projects like the Shuffle game. Comfortable across Python, TensorFlow/PyTorch, cloud data stacks and production ML, he combines product-focused engineering with a knack for turning research ideas into reliable pipelines. Notably, his background in math and early work in Monte Carlo tooling give him a strong probabilistic perspective when validating model outputs.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at University of California, Davis
Contributions:7 pushes, 1 branch in 2 years 10 months
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