Feng Wang
Machine Learning Engineer at Leica Geosystems part of Hexagon
Dübendorf, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolFeng Wang is a Machine Learning Engineer with 15 years of experience blending high-performance C++ development, numeric optimization, massive parallel computation and deep learning for applied research and productization. He has held postdoctoral and research roles at Humboldt-Universität zu Berlin and Empa and now applies his HPC and computer-vision expertise at Leica Geosystems in Dübendorf. Trained as a physicist with a PhD from Ulm and a background in astronomy and information engineering, he brings rigorous scientific methodology to engineering problems. Feng’s work sits at the intersection of signal processing and scalable ML pipelines, often leveraging domain knowledge from optics and remote sensing to deliver production-ready models. Notably, his profile reflects a rare combination of academic research productivity and hands-on systems engineering for real-world geospatial applications.
15 years of coding experience
7 years of employment as a software developer
Master's degree, Astronomy, Master's degree, Astronomy at University of Chinese Academy of SciencesDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Ulm UniversityPhysics, Physics at Humboldt University of BerlinBachelor's degree, Information Engineering, Bachelor's degree, Information Engineering at Zhejiang University
Stackoverflow
1,564reputation
523kreached
14answers
6questions
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top-5%
Github Skills (200)
to-do10
cpp10
matrix10
document-management10
cereal10
single-file10
android-tv10
neural-network10
evernote10
data-science10
qtwebkit10
nodejs10
text-editing10
zsh10
keras10
Programming languages (22)
Github contributions (5)
fengwang/Stable-Diffusion-NCNN
Dec 2022 - Dec 2022
Contributions:1 release, 10 commits, 8 pushes in 2 days
fengwang/ceras
Dec 2020 - Dec 2022
Contributions:469 commits, 115 pushes, 2 branches in 2 years
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