Michael Case
Senior Software Engineer at Waymo
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Case is a Senior Software Engineer and ML specialist with 11 years of experience building low-latency, petabyte-scale AI systems at Google, Meta, Cruise, Waymo, and other research labs. He has led end-to-end efforts from data pipelines and TPU training migrations to transformer-based trackers and retrieval models, delivering measurable business and safety impact such as enabling higher-speed tracking and expanding road operation capabilities. His work spans production-grade infrastructure (MapReduce/Flume), model distillation from large language models, and unifying complex ML stacks into consolidated systems like TrackFormer and One Data Pipeline. Michael combines deep research collaborations with pragmatic engineering—optimizing training throughput 7x at Google Play and iterating through dozens of model architectures to solve real-world perception failures. Based in San Francisco, he brings a rare blend of applied math rigor (Columbia BS Summa Cum Laude) and hands-on leadership across cross-functional teams. An underappreciated asset is his knack for turning fragmented experimental prototypes into robust, maintainable pipelines that scale from research to safety-critical production.
12 years of coding experience
9 years of employment as a software developer
UdacityGranby Memorial High School (GMHS)Greater Hartford Academy of Math and Science (GHAMAS)CT State CapitalBachelor of Science - Summa Cum Laude Applied Mathematics and Computer Science, Bachelor of Science - Summa Cum Laude Applied Mathematics and Computer Science at Columbia University
Github Skills (20)
python10
gstreamer10
use-http10
machine-learning10
chromium10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
cpp10
editing10
documentation10
tensorflow-estimator9
machine-learning-models8
Programming languages (6)
Github contributions (5)
case540/tensorflow
Oct 2017 - Jan 2019
Computation using data flow graphs for scalable machine learning
Contributions:47 pushes, 83 branches in 1 year 4 months
machine-learning
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