Wan-ting Huang
Deep Learning Engineer at QUANTA GROUP LTD
Hsinchu City, Taiwan, Taiwan
Summary
👤
Senior🎓
Top SchoolWan-ting Huang is a deep learning engineer with 9 years of experience building production-ready AI solutions, currently improving model architectures and inference pipelines at Quanta Group. She has a proven track record of practical optimizations—cutting inference time by 40% and halving API memory usage—alongside building robust data validation and processing tools. Prior roles include developing multilingual NLP systems and embedded inference engines, demonstrating fluency across research-grade models and low-level deployment in C. With a Master’s in Statistics and a background in mathematics, she blends strong quantitative rigor with hands-on engineering, often applying evolutionary and optimization techniques from her research experience. Based in Hsinchu, Taiwan, she brings a rare combination of experimental ML expertise and pragmatic systems optimization to deliver scalable, resource-efficient AI products.
9 years of coding experience
1 year of employment as a software developer
Master’s Degree, Statistics, Master’s Degree, Statistics at National Chiao Tung UniversityExchange Program, Statistics, Exchange Program, Statistics at Humboldt University of BerlinBachelor's Degree, Mathematics, minor in Secondary Teacher Education, Bachelor's Degree, Mathematics, minor in Secondary Teacher Education at National Tsing Hua University
English, German, Chinese
Github Skills (10)
pytorch8
imaging8
medical-image-processing8
python7
medical-image-computing7
computer-vision7
deep-learning7
machine-learning6
espn4
optimization2
Programming languages (3)
Github contributions (5)
wantinghuang/tensorflow-lstmcrf-postagger
Jun 2018 - Nov 2019
Contributions:18 commits, 12 pushes, 1 branch in 1 year 5 months
wantinghuang/wantinghuang.github.io
Mar 2018 - Apr 2020
Contributions:374 pushes, 1 branch in 2 years 2 months
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