Zhou D
Singapore
Summary
🤩
Rockstar🎓
Top SchoolZhou D is a PhD candidate in Data Science at the National University of Singapore with seven years of engineering experience bridging hardware design and machine learning. He began his career as an FPGA- and VHDL-focused design engineer for satellite on-board data handling at ST Electronics, and has practical exposure to automation at Seagate and semiconductor advocacy through SSIA. Skilled in Python, MATLAB and LabVIEW, he combines low-level hardware expertise with data-driven modeling—an uncommon mix that informs his doctoral work in deep learning. A first-class B.Eng. graduate from NUS, Zhou also brings event planning and leadership experience from IEEE and campus organizations, reflecting strong communication and collaboration skills alongside technical depth. He can be reached at zhoudaquan21@gmail.com.
6 years of coding experience
4 years of employment as a software developer
Doctorate Degree, Data Science,Deep Learning, Doctorate Degree, Data Science,Deep Learning at National University of Singapore
Github Skills (22)
diffusion-models10
corruption10
self-attention10
backbone10
ffmpeg9
semantic-segmentation9
efficientnet9
visual-recognition9
coco8
video-processing8
llm8
imagenet8
image-classification7
deep-learning7
object-detection7
Programming languages (2)
Github contributions (5)
zhoudaquan/rethinking_bottleneck_design
Jul 2020 - Mar 2022
Contributions:1 release, 15 commits, 13 pushes in 1 year 8 months
zhoudaquan/AutoSpace
Jul 2021 - May 2022
Contributions:12 commits, 1 push in 10 months
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