Zhaohong Jin
AI Engineering Lead at THE TUDOR GROUP
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolZhaohong Jin is an AI Engineering Lead with 10 years of experience applying machine learning and large language models to finance, currently building AI capabilities for the Tudor Group in the New York City area. He previously worked on Google Bard (Gemini) extensions and semantic parsing, and contributed to Bloomberg’s AI initiatives, blending production ML engineering with research-grade modeling. Trained in computational science at Harvard and with dual degrees in CS and Economics from UC Berkeley, he bridges rigorous quantitative methods and practical system design. His background spans large-scale deep learning (3D U-Nets, VAEs) for connectomics to real-time data pipelines at AWS, demonstrating both research depth and production impact. Colleagues describe him as a pragmatic problem-solver who moves models from prototype to low-latency, cost-effective deployment. He often brings cross-domain insights—combining neuroscience-derived modeling techniques with financial LLM applications—to gain edge in alternative data and signal engineering.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, BerkeleyHigh School Diploma, High School Diploma at Bakersfield Christian HighMaster of Science - MS Computational Science and Engineering, Master of Science - MS Computational Science and Engineering at Harvard UniversityShanghai Xingzhi High School
Chinese, English
Github Skills (4)
monitor4
data-access3
machine-learning1
datasets1
Github contributions (5)
JinZhaoHong/DistributedML
Oct 2016 - Jan 2017
Contributions:47 commits, 39 pushes, 1 branch in 2 months
JinZhaoHong/Connectomics
May 2019 - Dec 2019
Contributions:22 pushes, 1 branch in 6 months
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