Summary
Nick Mckillip is a machine learning engineer with eight years of experience building scalable ads and infrastructure systems, currently focused on core ads serving at Netflix after stints at Reddit, Google, and Striveworks. He has deep SRE and ML chops—shaping YouTube automated bidding and cold-start solutions with deep uncertainty models, Bayesian calibration, and explore/exploit bidding strategies. Comfortable across distributed systems, production ML, and perception, he led perception work at Texas A&M and moved quickly from SRE foundations at Google Borg to research-driven ad optimization. Based in Austin, he combines practical engineering rigor with research-fluent approaches to uncertainty and auction prediction, making him adept at turning complex probabilistic models into reliable production services.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Texas A&M University