Junde Li
Machine Learning Compiler Engineer at Cadence Design Systems
Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJunde Li is a machine learning compiler engineer and final-year PhD candidate at Penn State with eight years of experience bridging academic research and industry implementation. He focuses on perception and planning for autonomous vehicles and explores hybrid quantum-classical ML and optimization, combining deep learning internships and quantum ML engineering stints into practical compiler work. Currently at Cadence, he applies research-grade methods to production ML compiler challenges, drawing on prior roles at Bosch BCAI and ApexQubit. Junde’s background spans process engineering to AI research, giving him a rare systems-to-algorithm perspective that helps optimize end-to-end ML deployment.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Penn State UniversityBachelor's degree, Logistics, Materials, and Supply Chain Management, Bachelor's degree, Logistics, Materials, and Supply Chain Management at Qingdao UniversityMaster of Science - MS, Engineering Management, Master of Science - MS, Engineering Management at City University of Hong Kong
Github Skills (41)
dialog9
intent-classification9
dialogue-systems9
nlp8
question-answering8
entity-extraction8
simulation8
neurons7
computational-neuroscience7
pytorch7
artificial-intelligence7
conversation7
named-entity-recognition7
dynamic7
machine-learning7
Programming languages (3)
Github contributions (5)
jundeli/jundeli.github.io
Oct 2019 - Aug 2023
Personal homepage:
Contributions:206 pushes in 3 years 11 months
reactpersonal-homepage
jundeli/quantum-gan
Dec 2020 - Feb 2021
PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
Contributions:76 commits, 2 PRs, 64 pushes in 2 months
pytorchganhybridquantumquantum-gan
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