Junyoung Park
Senior Machine Learning Researcher at Qualcomm
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolJunyoung Park is a Senior Machine Learning Researcher with nine years of experience and a PhD from KAIST, specializing in (deep) learning for dynamic networked systems and decision-making. He has led industrial collaborations across telecommunications, semiconductor manufacturing, and robotics, producing 15+ publications and deploying deep-learning services in production. At Qualcomm he focuses on optimizing LLM inference, and previously built AI solvers for combinatorial optimization at a startup (Omelet). A practiced educator, he’s delivered corporate courses and hands-on GNN/RL tutorials for Samsung, LG, SK, and others, and has experience applying learned controllers and neural combinatorial methods to real-world processes. Colleagues describe him as a researcher who bridges rigorous theory and practical deployment, often translating meta-learning and GNN advances into industry-ready optimization tools.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Industrial and Systems Engineering, Doctor of Philosophy - PhD, Industrial and Systems Engineering at Korea Advanced Institute of Science and Technology
Github Skills (85)
benchmark10
python10
deep-learning10
hydra10
vehicle-routing-problem10
operations-research10
artificial-intelligence10
attention-model10
a-z10
scatter10
pytorch10
pytorch-lightning10
mahjong9
ai9
nlp9
Programming languages (3)
Github contributions (5)
Junyoungpark/pyjssp
Apr 2019 - Jul 2019
Contributions:65 commits, 3 PRs, 40 pushes in 3 months
Junyoungpark/aaai2020_paperlist
Feb 2020 - Feb 2020
Contributions:24 commits, 23 pushes, 1 branch in 11 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.