Jason Raether
Software Engineer at Google
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolJason Raether is a software engineer at Google with eight years of experience building production ML and embedded systems across search, NLU, and hardware-focused roles. He holds an M.S. in Computer Science from Texas A&M, where his thesis explored technology-driven interventions for anxiety using wearable physiological signals and statistical models (EDA, HRV, speech features). His background spans fast-moving product internships at Amazon (deep RL for active learning at scale), Motorola, Vermeer, and earlier embedded projects, giving him a rare blend of cloud/ML and low-level hardware expertise. Based in Chicago, he combines research rigour with hands-on productionization—designing PySpark and PyTorch pipelines as well as low-power CAN/CAN-bus and multi-camera systems. Notably, his academic work was funded in collaboration with industry (GM) and translated into real-time intervention experiments, showing an ability to move from signals research to user-facing implementations.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Texas A&M UniversityUniversity of Illinois Urbana-Champaign
Github Skills (6)
wsl27
windows5
feature-extraction3
machine-learning2
audio2
python1
Programming languages (2)
Github contributions (5)
jasondraether/GMM-diarisation
May 2019 - Oct 2020
Contributions:62 commits, 17 pushes in 1 year 5 months
jasondraether/Projects
Sep 2017 - Sep 2020
Contributions:68 pushes, 1 branch in 3 years
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