Chenyi Li is a software engineer with seven years of experience blending chip software R&D, medical physics optimization, and backend automation across industry and academia. Currently working on chip software at Xiaomi and developing MBRT optimization prototypes and large-model–driven radiotherapy planning at Varian, Chenyi bridges low-level C++ parallel computing with high-level Python and ML workflows. Past roles include EDA research at Shanghai Jiao Tong University—where Chenyi helped build an open-source dataflow-driven placement flow—and fintech and DevOps stints deploying Java low-code platforms and Jenkins automation on Linux. Comfortable moving between research, product validation, and production systems, Chenyi has repeatedly turned complex simulation and optimization problems into validated prototypes. Based in Irvine, California with an M.Eng. from UC Irvine, Chenyi brings a practical cross-domain toolkit that pairs algorithmic depth with hands-on system implementation. An understated strength is the ability to translate academic algorithms into industry-ready code for high-stakes domains like chip design and radiotherapy.
6 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Shanghai Jiao Tong University
Contributions:5 releases, 2 PRs, 78 pushes in 8 months
andoid-appandroidxposedxposed-modulexposedmodule
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