Jason Cheng
Undergraduate Researcher, Radiological Instrumentation Laboratory
California, United States
Summary
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Senior🎓
Top SchoolJason Cheng is a third-year Electrical Engineering student at UC Santa Cruz who blends hands-on circuit and semiconductor intuition with applied machine learning for efficient hardware inference. He has research experience modeling PET detector charge transport at UCSC and implemented integer-only quantization and LUT-based approximations for transformer components during a research internship at National Taiwan University. Jason focuses on low-level digital and analog design, signal flow through transistor-level logic, and bridging ML models to low-power embedded hardware for real-time inference. With nine years of practical experience including teaching and lab workflow development, he pairs rigorous analysis with clear documentation and reproducible code. He’s particularly interested in how compact integer arithmetic and clever lookup strategies can unlock deployable AI on constrained devices.
9 years of coding experience
High School Diploma, High School Diploma at Independence High SchoolBachelor of Applied Science - BASc, Math analysis, A, Bachelor of Applied Science - BASc, Math analysis, A at Evergreen Valley CollegeUniversity of California Santa Cruz
Chinese, Chinese, EnglishGithub contributions (5)
SaltyFish123/android_romance_of_three_kindoms_app
Nov 2017 - Nov 2017
Contributions:4 commits, 3 pushes, 3 branches in 7 days
jasonCheng40/repository
Sep 2017 - Jul 2018
Contributions:2 pushes, 1 branch in 9 months
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