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
Contributions:28 commits, 38 pushes, 1 branch in 4 years 7 months
docker-imagedockerquake
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