Jing Koh
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJing Koh is a PhD candidate in Machine Learning at Carnegie Mellon University with 11 years of industry and research experience, including a prior role at Google Research. Focused on "teaching computers to use computers," Jing works at the intersection of ML systems and automation, translating research ideas into practical, scalable tooling. Trained in AI-focused engineering at SUTD and with a hands-on stint at MIT, Jing blends rigorous academic foundations with real-world product and research exposure. Based in Pittsburgh, they bring both deep technical expertise and a knack for building systems that enable other models and engineers to be more productive.
11 years of coding experience
BE Honors Information Systems Technology and Design (specialization in Artificial Intelligence), BE Honors Information Systems Technology and Design (specialization in Artificial Intelligence) at Singapore University of Technology and Design (SUTD)Mechanical Engineering - Summer Program, Mechanical Engineering - Summer Program at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Carnegie Mellon University
English, Chinese
Github Skills (25)
python9
machine-learning9
multimodal9
computer-vision8
deep-learning8
natural-language-processing8
tensorflow8
data-science7
neural-network7
large-language-models6
llm6
deep-neural-networks5
ml5
nlp4
agent3
Programming languages (6)
Github contributions (5)
web-arena-x/visualwebarena
Jan 2024 - Nov 2024
VisualWebArena is a benchmark for multimodal agents.
Contributions:11 reviews, 18 PRs, 45 pushes in 9 months
agentsllmmultimodal
kohjingyu/Term4_2D
Oct 2017 - Feb 2018
Contributions:29 commits, 1 push in 3 months
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