Hao Yin
Wireless System Engineer at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHao Yin is a Wireless System Engineer at Meta with a Ph.D. in Electrical and Computer Engineering from the University of Washington and a decade of experience in wireless research and product engineering. He designs and optimizes wireless systems for wearable devices, driving Meta AI Assistant features that balance computational offload, power consumption, and dynamic wireless conditions. His academic work under Prof. Sumit Roy focused on scheduling and resource allocation for 5G and Wi‑Fi, and he brings applied expertise from multiple internships at Microsoft, Meta, and Intel. Hao pairs rigorous mathematical training (MS in Applied Mathematics) with practical system-building, often integrating machine learning to boost network intelligence and URLLC performance. Based in Seattle, he blends research depth with product-oriented execution, with a personal commitment to preserving the collaborative spirit from his PhD years.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at University of WashingtonBachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Huazhong University of Science and Technology
Github Skills (17)
interaction10
artificial-intelligence9
python9
apply8
machine-learning8
wireless8
deep-reinforcement-learning6
federated6
merge6
federated-learning6
reinforcement-learning6
gitlab4
ns34
twine4
simulation3
Programming languages (3)
Github contributions (5)
Mauriyin/V2V-Groupcast
Sep 2020 - Oct 2021
Contributions:25 commits, 1 push in 1 year 1 month
hust-diangroup/ns3-ai
Oct 2019 - Mar 2022
Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!
Contributions:3 releases, 17 reviews, 70 commits in 2 years 5 months
interactionpythonmachine-learningns-3frameworks
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