Allen Yan
Graduate Teaching Assistant
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolAllen Yan is a PhD candidate and experienced full-stack developer based in Portland with 13 years of software engineering experience spanning academia and industry. He teaches and designs core CS courses (data structures, architecture, algorithms, PL fundamentals, and deep learning) at Oregon State while researching human-in-the-loop defenses for test-time adversarial attacks on sensor-to-decision ML systems. His internship work at Intel and Google focused on practical AI deployment—profiling RAG systems, integrating generative models on hardware, and building CNN detectors for facial forgery—bridging research rigor with production constraints. A strong systems and tooling engineer, he has converted legacy scientific codebases and streamlined inference stacks (Triton/PyTorch) for performance, and he codes in Node.js, JavaScript, and Java across full-stack projects. Notably, he brings a rare combination of deep academic training (PhD AI, 3.97 GPA) and hands-on platform experience that accelerates moving ML research into deployable, hardware-aware solutions.
13 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Westview High SchoolDoctor of Philosophy - PhD, Computer Science, Artificial Intelligence, GPA 3.97, Doctor of Philosophy - PhD, Computer Science, Artificial Intelligence, GPA 3.97 at Oregon State UniversityBachelor of Science - BS, Electrical and Computer Engineering, Overall GPA 3.89, Major GPA 3.98, Bachelor of Science - BS, Electrical and Computer Engineering, Overall GPA 3.89, Major GPA 3.98 at Baylor University
Chinese, English, Spanish
Github Skills (17)
whisper8
git8
speech-to-text7
perf6
inference6
crash6
cpp5
speech-recognition5
transformer5
openai5
java5
heap-dump5
nodejs4
android4
oom3
Programming languages (3)
Github contributions (5)
LinkYan/LinkDroid
Apr 2013 - Apr 2013
Contributions:19 commits in 1 day
allenyan513/reviewsup.io
Jun 2025 - Aug 2025
An open-source review and testimonial management system that helps you collect, manage, and showcase customer feedback with ease.
Contributions:63 PRs, 147 pushes, 12 branches in 2 months
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