Yen-jung Chang
Software Engineer at Meta
California, United States
Summary
🤩
Rockstar🎓
Top SchoolYen-Jung Chang is a software engineer with 11 years of experience specializing in distributed training, inference efficiency, and model compression for very large deep models, currently driving applied research at Meta. Previously a Staff AI Software Engineer at LinkedIn, he led company-wide anomaly detection for large-scale time series, built explainable AI tooling for model developers, and architected distributed training systems that powered enterprise products like Strategic Talent Flow. His Ph.D. from UT Austin grounds his work in distributed and parallel computing, verification of distributed systems, and lattice theory, and he has a track record of translating research into production systems that detect security attacks and narrow online model issues. Notable early recognitions include first place in the International Global Routing Contest and multiple academic awards, reflecting a mix of theoretical depth and practical engineering impact.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at National Chiao Tung UniversityPhD, Electrical and Computer Engineering, PhD, Electrical and Computer Engineering at The University of Texas at AustinMaster of Science, Computer Science, Master of Science, Computer Science at National Tsing Hua University
Chinese, English
Github Skills (24)
data-stream10
apache-pinot10
realtime10
apache-flink10
python10
pinot10
big-data10
apache10
datastore10
java10
olap10
machine-learning9
gpu9
deep-learning9
gpu-acceleration8
Programming languages (3)
Github contributions (5)
cyenjung/pinot
Nov 2016 - Apr 2020
A realtime distributed OLAP datastore
Contributions:14 pushes, 5 branches in 3 years 5 months
realtimeolapdatastoredistributed
cyenjung/pytorch
Oct 2020 - Oct 2020
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:5 pushes, 1 branch in 5 days
pythongpu-accelerationdeep-learninggpuacceleration
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