Charlie Ji is a Member of Technical Staff and AI engineer based in Berkeley with six years of experience building research-driven ML systems and production infrastructure across startups and large tech firms. A UC Berkeley CS+Data Science graduate, Charlie has contributed to high-impact research projects like Berkeley’s Gorilla function-calling and openfunctions initiatives, and has shipped data-curation and observability features at companies including Resolve AI, Bespoke Labs, and AWS. He moves fluidly between research and product: publishing work on adversarial ML during a Tencent internship, developing curriculum and TA-ing large CS courses, and iterating on agent data pipelines and curator tooling. Colleagues know him for combining strong systems thinking with hands-on model and dataset engineering, plus a knack for turning research prototypes into practical developer-facing tooling.
7 years of coding experience
3 years of employment as a software developer
Certificate Entrepreneurship & Technology, Certificate Entrepreneurship & Technology at UC Berkeley College of Engineering
Summer School Big Data Research, Summer School Big Data Research at Yale University
Bachelor of Arts - BA Computer Science (honors) + Data Science, Bachelor of Arts - BA Computer Science (honors) + Data Science at UC Berkeley College of Computing, Data Science, and Society
High School Diploma, High School Diploma at Shanghai High School International Division
Contributions:262 commits, 2 PRs, 178 pushes in 6 months
pythonmatplotlibstatisticsnumpymachine-learning
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