Yi-hsiang Kao
Machine Learning Engineer at Uber
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYi-hsiang Kao is a Machine Learning Engineer with 11 years of experience specializing in natural language processing, societal modeling, and applied deep learning for risk and fraud detection. A NYU Courant computer science master’s grad, he has built end-to-end ML systems at scale—from malicious call and phishing detectors to payment and gift card fraud models at Uber—and shipped production NLP and active learning solutions at Text IQ. He combines research instincts (language modeling for legal domains, published work on ransomware detection) with product-focused delivery, often working cross-functionally and reporting to executive leadership. Based in New York, he’s driven by the idea that “data is political,” applying technical rigor to social-media, journalism, and political-use cases where model behavior has societal impact. Notably, his background spans both infrastructure optimization (reducing query times at Google Ads) and hands-on security research, giving him a rare blend of production engineering and domain-specific ML expertise.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Taiwan UniversityMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at New York University
Chinese, English, Mandarin
Github Skills (11)
natural-language-processing8
pytorch7
machine-learning7
deep-learning6
seq2seq4
jupyter-notebook1
ipython1
recommendation-system1
python1
science1
data-science1
Programming languages (1)
Github contributions (5)
gau820827/AI-writer_Data2Doc
Nov 2017 - May 2018
PyTorch Implementation of NBA game summary generator.
Contributions:103 commits, 21 PRs, 40 pushes in 5 months
pytorchseq2seqdeep-learningmachine-learningnba
gau820827/Ransome-killer
Nov 2016 - Dec 2016
Contributions:16 commits, 14 pushes, 1 branch in 1 month
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