Richard Fan
Research Engineer at MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolRichard Fan is a research engineer with a decade of experience building and productionizing machine learning systems, currently working at MBZUAI after senior ML engineering roles at Petuum. He blends deep academic training (MSc in Machine Learning from UCL, BS from Carnegie Mellon) with hands-on expertise in distributed systems, numerical optimization, deep RL, and NLP, and has repeatedly moved research into deployable, Kubernetes-backed pipelines. At Petuum he led elastic distributed ML efforts and automated graphical ML deployments, demonstrating a knack for scaling complex models across clusters. His background includes teaching core ML and functional programming courses at CMU, reflecting strong communication and mentorship skills alongside technical depth. Based in the San Francisco Bay Area, he combines startup and research sensibilities to bridge cutting-edge methods with production constraints.
10 years of coding experience
9 years of employment as a software developer
K-12 High School Diploma, K-12 High School Diploma at The Harker SchoolBachelor of Science (B.S.) Computer Science minor in Machine Learning, Bachelor of Science (B.S.) Computer Science minor in Machine Learning at Carnegie Mellon UniversityUniversity College London
Github Skills (39)
aws10
arxiv10
distributed-training9
pytorch9
machine-learning9
distributed-systems9
deep-learning9
scheduler8
kubernetes8
chatgpt8
feature-engineering7
llm7
model-compression7
ai7
nas7
Programming languages (1)
Github contributions (5)
AutoLLM/ArxivDigest
May 2023 - Apr 2024
ArXiv Digest and Personalized Recommendations using Large Language Models
Contributions:10 reviews, 31 PRs, 44 pushes in 11 months
aiarxivarxiv-paperschatgptgpt
rmfan/adaptdl
Aug 2020 - Nov 2021
Contributions:5 releases, 15 PRs, 341 pushes in 1 year 3 months
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