Junshen Chen
Machine Learning Engineer at Meta
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolJunshen Chen is a Machine Learning Engineer with nine years of experience building ML models, inference systems, and interaction-focused engineering, currently working at Meta in the Greater Seattle area. He blends academic rigor from a Stanford MS and research/teaching experience with hands-on production internships at Google, Facebook, and Alibaba. His background shows a consistent focus on turning research into deployable systems—bridging model development, serving infrastructure, and user-facing interaction design. At Stanford he balanced research and instruction, which contributes to a pragmatic approach to complex ML problems and clear technical communication. Peers describe him as someone who navigates both low-level system constraints and high-level model behavior, making trade-offs that scale in production. He brings a curious, interdisciplinary mindset that often uncovers practical optimizations not obvious from model metrics alone.
10 years of coding experience
2 years of employment as a software developer
University of California, San DiegoMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
sarcastic humor
Github Skills (10)
handwriting-recognition10
adaptation7
mongodb7
robot-simulator7
simulation7
action-recognition4
modular4
multi-party-computation3
scheduling3
private-cloud2
Programming languages (5)
Github contributions (5)
jkvc/modular-domain-adaptation
Mar 2022 - Apr 2022
Modular Domain Adaptation is a framework to produce and consume models while addressing the domain misalignment issue
Contributions:53 commits, 2 PRs, 52 pushes in 1 month
consumedomaindomain-adaptationmodularadaptation
deep-scribe/handwriting-recognition
Feb 2020 - Jun 2020
Motion-based handwriting recognition with RNNs
Contributions:137 commits, 170 pushes, 1 branch in 3 months
handwriting-recognition
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