Hongmin Wang is a software engineer at Microsoft with a decade of experience blending research-grade NLP and machine learning with production engineering. He holds an MS in Computer Science from UC Santa Barbara and spent four years driving published research across natural language understanding and generation, including word similarity, parsing, and structured factual reasoning. At Microsoft he has translated that research mindset into engineering impact, while earlier internships at JD.com and research roles at top universities honed his ability to build datasets, prototype deep models, and evaluate methods rigorously. A practiced communicator and TA who has given guest lectures, he pairs technical leadership with an engineer’s curiosity about how systems work. Less obvious: he bridges both academic publication rigor and product-focused shipping, making him effective at moving ideas from papers into deployed software.
10 years of coding experience
5 years of employment as a software developer
Electrical Engineering, Electrical Engineering at University of Waterloo
Master of Science - MS Computer Science, Master of Science - MS Computer Science at UC Santa Barbara
Bachelor of Engineering (BEng) Electrical and Electronics Engineering, Bachelor of Engineering (BEng) Electrical and Electronics Engineering at National University of Singapore
Forked from tdozat/Parser and adapted to tensorflow 0.12
Contributions:41 commits, 4 PRs, 42 pushes in 2 years 7 months
pythonadaptedtensorflowparser
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