Chenyang Zhu is a Manager (IC) at Capital One with eight years of experience applying LLM customization, alignment, and reliable ML techniques across production and research settings. He has progressed through senior technical roles at Capital One focused on SFT, RLHF, RAG, evaluation, and agentic systems, translating cutting-edge generative AI research into robust, applied solutions. His academic background spans SUFE, Columbia GSAS, and exchange study at UC Berkeley, with earlier research stints at Tsinghua and NYU Shanghai exploring causal inference in NLP and computational social science. He combines hands-on model tuning and evaluation expertise with product-minded deployment experience in financial services, emphasizing safety and alignment. Notably, he has experience bridging investor-facing tech scouting at Sinovation Ventures with deep technical research, enabling him to spot high-impact AI ideas and shepherd them toward adoption. Based in New York, he brings a research-to-production mindset that balances rigor, risk-aware innovation, and practical impact.
8 years of coding experience
4 years of employment as a software developer
Exchange, Exchange at University of California, Berkeley
Bachelor's degree, Bachelor's degree at Shanghai University of Finance and Economics
Shanghai Shixi High School
Master's degree, Master's degree at Columbia University in the City of New York
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