Yihan Jiang
Member Of Technical Staff at Berkshire Hathaway
California, United States
Summary
👤
Senior🎓
Top SchoolYihan Jiang is a Member of Technical Staff at Amazon with nine years of experience at the intersection of deep learning and communications, currently building vision-language models for computer-use agents. He holds a PhD from the University of Washington focused on federated meta-learning and communication systems and has a track record of translating research into products as a founding research engineer at Aira Technologies and a research scientist at Sentient Foundation. His academic-industry path includes a NeurIPS workshop oral from a Google internship combining federated learning and MAML, evidence of strong research-to-production capability. Based in California, he blends wireless communications expertise from UC San Diego and Qualcomm with modern AI system design, and even applies a patient, long-term investor mindset outside tech.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Deep Learning, Federated Learning, Communications, Doctor of Philosophy - PhD, Deep Learning, Federated Learning, Communications at University of WashingtonUniversity of California, San DiegoBachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Beijing Institute of Technology
Chinese, English
Github Skills (12)
turbo10
optical-flow10
autoencoder10
deep-learning8
pytorch8
wireless7
machine-learning6
justin4
tensorflow4
hidden3
numba1
morse-code1
Programming languages (2)
Github contributions (5)
yihanjiang/turboae
Sep 2019 - Mar 2022
Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019
Contributions:84 commits, 69 pushes, 1 branch in 2 years 6 months
pytorchautoencoderdeep-learningoptical-flowneurips
yihanjiang/learn
Mar 2019 - Oct 2019
Contributions:4 commits, 3 pushes, 1 branch in 7 months
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