David Dai
Engineer at Qualcomm
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDavid Dai is an engineering leader with 11 years of experience building and shipping machine learning systems from research to on-device deployment. He co-founded Tetra Intelligence to deliver a cloud platform for deploying and profiling PyTorch models on phones, laptops, and IoT devices—a startup acquired by Qualcomm within 18 months—and now works on Qualcomm AI Hub and on-device inference for robotics. At Apple he helped evolve CoreML, introducing an intermediate representation (MIL) and making model compression and mobile-optimized training accessible to developers. Earlier roles at Petuum and CMU combine hands-on deep learning research, production ML platforms, and scaling engineering teams from single digits to 60+ engineers. Based in Seattle, he brings rare end-to-end expertise across model research, platform infrastructure, and edge deployment. Colleagues describe him as a trench-working leader who moves quickly from prototype to product while keeping an eye on practical developer workflows.
11 years of coding experience
14 years of employment as a software developer
B.A. Physics and Mathematics, B.A. Physics and Mathematics at Wesleyan UniversityCalifornia Institute of TechnologyPh.D. Candidate Machine Learning Computer Science, Ph.D. Candidate Machine Learning Computer Science at Carnegie Mellon University
English, Chinese
Github Skills (2)
finance1
financial1
Github contributions (5)
Stephaniefan/knn
Mar 2015 - Apr 2015
Contributions:25 pushes in 7 days
elodiebq/CFC
Jan 2015 - Jan 2015
Contributions:7 commits, 5 pushes in 1 day
financialfinancial-services
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