Yunzhi Shi
Applied Scientist WHS Data Tech
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolYunzhi Shi is an applied scientist with 11 years of experience applying ML, CV, NLP and MLOps to production problems across Amazon and AWS, currently building LLM-based, multi-modal safety solutions for Amazon’s Workplace Health & Safety team. He combines deep academic training in geophysics and computational seismology (PhD, UT Austin) with hands-on experience in generative AI, fine-tuning, reasoning architectures, and automated deployment to translate research innovations into scalable enterprise impact. Prior roles in the ML Solutions Lab and GenAI Innovation Center show a track record of partnering with customers to identify high-ROI use cases and integrate GenAI into real-world workflows. Beyond engineering, he brings a practical systems mindset from large-scale HPC and distributed inference work done in industry internships, and an adventurous curiosity—photography, tennis, and general aviation—that informs a creative, risk-aware approach to problem solving.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Geophysics and Seismology, Doctor of Philosophy (Ph.D.), Geophysics and Seismology at The University of Texas at AustinBachelor of Science (B.S.), Geophysics and Seismology, Bachelor of Science (B.S.), Geophysics and Seismology at University of Science and Technology of China
English, Chinese
Stackoverflow
21reputation
5kreached
1answer
1question
Github Skills (27)
geophysics8
reproducible-science8
rendering7
atmospheric-modelling7
data-management7
python-bindings6
multiphysics6
science6
system-calls6
go6
kill6
kubernetes-helm6
linux6
sessionid6
engine5
Programming languages (1)
Github contributions (5)
yunzhishi/seismic-canvas
May 2019 - Oct 2020
Demo of the Seismic Canvas project.
Contributions:46 commits, 48 pushes, 1 branch in 1 year 5 months
canvasseismic
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