Yeonju Ro
Graduate Research Assistant
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolYeonju Ro is a PhD computer scientist and seasoned research engineer with 11 years of experience bridging systems and machine learning across academia and industry. Currently a Graduate Research Assistant at UT Austin, she focuses on algorithm-system co-design and systems for ML while contributing to multiple labs (LDOS, InfraAI, UTNS, VITA). Her internships at Meta, Microsoft, and HPE, plus prior research and product roles at Samsung, KAIST, and an early-stage startup, reflect deep expertise in distributed training, on-device ML, and NPU/model compression. Comfortable coding across C/C++, Python, Scala and web stacks, she pairs low-level systems thinking with AI research—an uncommon blend that enabled both secure hardware work at KAIST and communication-efficient training at Meta. Based in Austin, she brings practical product engineering experience (founding contributor at BrainCommerce) to ambitious ML systems research.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at AustinMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Korea Advanced Institute of Science and Technology
Github Skills (26)
python10
machine-learning9
gpu9
deep-learning9
gpu-acceleration8
pipeline8
tensorflow8
acceleration8
numpy8
neural-network8
tensor7
pytorch7
autograd7
hardware5
performance-counters5
Programming languages (4)
Github contributions (5)
moonbucks/nanoGPT
Jun 2023 - Oct 2024
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Contributions:12 PRs, 25 pushes, 11 branches in 1 year 4 months
moonbucks/PiPPy
Jun 2023 - Aug 2023
Pipeline Parallelism for PyTorch
Contributions:70 pushes, 48 branches in 2 months
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