Gyeong-in Yu
Chief Technology Officer at FriendliAI
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolGyeong-in Yu is the CTO of FriendliAI, leading efforts to lower technical and cost barriers for organizations building and serving generative AI. With 11 years of engineering experience and a PhD in Computer Science and Engineering from Seoul National University, he specializes in systems for accelerating machine learning inference in datacenters and earned his department’s Best Ph.D. Dissertation Award. He brings research-grade depth from internships at Microsoft to startup execution, blending systems engineering, ML infrastructure, and product-focused delivery. Based in Seoul, he combines a double undergraduate background in computer science and economics with a practical knack for turning complex distributed-ML research into production-ready platforms.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Seoul National University
Github Skills (45)
libtorch10
autoconfiguration10
torchscript9
java9
machine-learning9
csharp9
mlnet9
keras9
baidu9
computer-vision9
deep-learning8
inference8
inference-engine8
mpi8
parallel8
Programming languages (4)
Github contributions (5)
wafflestudio/siksha
Feb 2015 - Apr 2015
Contributions:24 commits, 2 PRs, 53 pushes in 1 month
snuspl/nimble
Nov 2020 - Oct 2021
Lightweight and Parallel Deep Learning Framework
Contributions:4 reviews, 5 commits, 1 PR in 10 months
deep-learninggpu-task-schedulingframeworkparallelinference
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