Shin-yeh Tsai
Software Engineer at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolShin-yeh Tsai is a software engineer and former research scientist with 10 years of experience building large-scale distributed training and serving infrastructure for AI, currently working on AI inference at Meta in Menlo Park. She holds a PhD from Purdue University where her research spanned operating systems, distributed systems, and datacenter networking with a focus on RDMA and remote/distributed memory systems. At Meta she led development of generalized serving validation pipelines, low-latency distributed model serving, and a model publish mechanism that improved publish efficiency by 10x, and has driven massive machine migrations across AI infrastructure generations. She also contributed to access management at Databricks, and has a strong academic-to-production track record from research assistant roles through software engineering internships. Known for bridging deep systems research with production ML infrastructure, she thrives on turning complex distributed algorithms into scalable, operational tools. Based in Menlo Park, she combines rigorous academic training with hands-on impact across training, serving, and infra migration projects.
10 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.) Computer and Communication Engineering, Master of Science (M.S.) Computer and Communication Engineering at National Cheng Kung UniversityBachelor's Degree Computer Science, Bachelor's Degree Computer Science at National Sun Yat-Sen UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Purdue University
English, Chinese
Github Skills (27)
python10
machine-learning9
recommender-system9
gpu9
deep-learning9
cuda8
gpu-acceleration8
tensorflow8
acceleration8
numpy8
sharding8
recommendation-system8
neural-network8
rdma7
tensor7
Programming languages (6)
Github contributions (5)
WukLab/LITE
Oct 2017 - Nov 2018
LITE Kernel RDMA Support for Datacenter Applications
Contributions:1 release, 25 commits, 7 PRs in 1 year
kernelliterdmadatacenter
shinyehtsai/pytorch
May 2023 - Jun 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:5 pushes, 1 branch in 2 days
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