Jing Yu Koh
PhD Candidate
Summary
👤
SeniorJing Koh is a research scientist at Meta, shaping generally capable web agents for Llama4 and translating research into scalable, production-ready AI systems. A former Google Research contributor, he worked on vision-and-language and generative modeling with core input to Parti, Pathdreamer, ViT-VQGAN, and XMC-GAN. He is currently pursuing a PhD in Machine Learning at Carnegie Mellon University, after earning summa cum laude in AI from SUTD. As an Undergraduate Research Fellow at the Singapore-MIT Alliance for Research & Technology Centre, he proposed a robust linear programming formulation for repositioning shared bicycles, blending optimization with ML. Based in Pittsburgh with a decade of experience, he combines academic depth with industry-scale execution and a passion for automating complex computer work.
11 years of coding experience
Github Skills (27)
python9
machine-learning9
multimodal9
computer-vision8
deep-learning8
natural-language-processing8
tensorflow8
data-science7
neural-network7
agents7
large-language-models6
llm6
deep-neural-networks5
ml5
nlp4
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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