Zhongwen Song
Student Assistant at Technische Universität München
China
Summary
👤
Senior🎓
Top SchoolZhongwen Song is a data-focused computer scientist with 11 years of experience, currently working as a Student Assistant at Technische Universität München where he contributes to data mining research and projects. With a Master's in Computer Science from TUM and a Bachelor in Mechanical Engineering from Tongji University, he blends strong engineering fundamentals with advanced AI and computer vision interests. His work centers on machine learning, data mining and computer vision, applying research-driven methods to practical data problems. Based in China, he brings a cross-disciplinary perspective shaped by mechanical engineering roots and a decade-long engagement in academic research. Though early-career in title, his sustained involvement since 2011 suggests deep institutional knowledge and a readiness to transition research into applied systems.
11 years of coding experience
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Technische Universität MünchenBachelor of Engineering (B.Eng.), Mechanical Engineering, Bachelor of Engineering (B.Eng.), Mechanical Engineering at Shanghai Tongji University
Github Skills (50)
python10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
toolbox9
benchmark9
pytorch9
openmmlab9
acceleration9
autograd9
tensorflow9
vision-transformer9
mask-rcnn9
Programming languages (3)
Github contributions (5)
LinkerNetworks/linkerUniverse
Jul 2016 - Oct 2016
Contributions:13 commits, 11 pushes, 1 branch in 3 months
universepackage-repositorylinker
tjsongzw/tfmesos
May 2016 - Nov 2016
Contributions:8 pushes, 1 branch in 5 months
dockertensorflowmesos
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