Yee-fan Tan
Research Assistant at University of North Carolina at Chapel Hill
Malaysia
Summary
👤
Senior🎓
Top SchoolYee-fan Tan is a PhD candidate and research-focused software engineer with 13 years of experience applying AI to real-world problems across computer vision, NLP, object detection and healthcare analytics. Currently a Research Assistant at UNC Chapel Hill and formerly at Monash University Malaysia, he has led projects on fMRI-based brain disorder diagnosis, explainable health prediction from facial features, and data-driven dynamic pricing. He pairs strong academic credentials (PhD candidate, BCompSc with a 3.97 GPA) with practical engineering contributions to open-source deep learning infrastructure, having improved stability and memory management in the widely used Apache SINGA project. Comfortable with large-scale data processing and experimental design, Yee-fan has also used GANs and transfer learning to overcome dataset limits and has hands-on experience in web scraping and time-series forecasting. Colleagues describe him as methodical and experiment-driven—equally at home debugging low-level backend issues as designing interpretable AI experiments.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Monash University MalaysiaBachelor of Computer Science (Hons.), Artificial Intelligence, 3.97 / 4.0, Bachelor of Computer Science (Hons.), Artificial Intelligence, 3.97 / 4.0 at Multimedia University
Malay, Chinese, English
Stackoverflow
13reputation
201reached
0answers
1question
Github Skills (10)
debug10
deeplearning-ai10
c-language10
deep-learning10
cprogramming-language10
io9
error-handling8
computer-engineering8
code-optimization7
excel-formula6
Programming languages (6)
Github contributions (5)
apache/singa
Oct 2015 - Oct 2015
a distributed deep learning platform
Role in this project:
Backend Engineer
Backend EngineerContributions:7 commits, 4 PRs, 3 comments in 8 days
Contributions summary:Yee-fan primarily contributed to bug fixes and minor improvements within the SINGA deep learning platform. Their work included fixing compilation errors in example code, initializing class members, flushing output streams, fixing memory management issues, and correcting typos in error logs. These changes improved the stability and functionality of the software by addressing various underlying issues.
learning-platformdeep-learningmachine-learningdistributed-deep-learningdistributed
WING-NUS/search-engine-wrapper
Apr 2013 - Jun 2013
Contributions:7 commits in 1 month
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