Dan Padgett is a Staff Software Engineer in San Francisco with 14 years of experience building high-performance, distributed systems for advertising and video at Google. He has led AdMob ad format engineering and driven video support and personalization across mobile and TV platforms, solving low-latency scaling challenges for synchronous ad delivery. Trained in mathematics and computer science, he brings applied algorithmic thinking to systems design—evident from earlier research that produced peer-reviewed cryptography results. Comfortable across backend storage, video splicing, and large-scale ad serving, he combines deep technical ownership with product-focused optimization. Colleagues rely on him for pragmatic solutions that balance latency, throughput, and user experience in complex media pipelines.
14 years of coding experience
13 years of employment as a software developer
Webster Thomas High School
Bachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at University at Buffalo
JKA robot responsible for recording demos and interfacing between game chats and demo database.
Contributions:1 review, 24 commits, 1 PR in 4 years 11 months
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