Shicheng Chen
Researcher at NetVirta, Inc.
Singapore
Summary
👤
Senior🎓
Top SchoolShicheng Chen is a researcher and software engineer with 9 years of experience building and deploying large-scale AI systems, specializing in computer vision, recommender systems, and production ML infrastructure. Based in Singapore, he has led the architecture and Kubernetes deployment of distributed search and recommendation platforms, integrating object, SQL/NoSQL, and vector stores to deliver sub-second inference at scale. His research background includes ICCV- and BMVC-published work on hand and body pose estimation and efficient 3D reconstruction, and he has a strong track record of turning those models into production features used by 100,000+ users. An active contributor to Apache SINGA, he improved ONNX interoperability and optimized GPU memory usage—practical gains that bridge academic advances and open-source deployment. Notably, his applied innovations include transformer-driven intent classification and multimodal search that significantly outperformed keyword and rule-based baselines.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Tianjin UniversityMaster's degree, Computer Science, Master's degree, Computer Science at National University of Singapore
Stackoverflow
1reputation
0reached
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Github Skills (18)
batch-normalization10
python10
machine-learning10
onnx10
deep-learning10
convolution10
optimization10
c-language9
autograd9
gpu9
optimisation9
cprogramming-language9
tensorflow8
pytorch8
data-structures6
Programming languages (3)
Github contributions (5)
apache/singa
Mar 2019 - Aug 2019
a distributed deep learning platform
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:39 commits, 36 PRs, 68 comments in 5 months
Contributions summary:Shicheng primarily focused on modifying and integrating the MKLDNN library for the Apache SINGA deep learning platform. Their contributions involved adding and adapting C type files for the singa-onnx project, specifically related to batch normalization and convolution operations, indicating a focus on optimizing model execution. Further contributions extended to the implementation of new operators, such as identity and various mathematical functions like ReLU, and providing testing cases. The user's work aims to enhance the platform's capabilities and its interoperability with other deep learning tools through ONNX support.
learning-platformdeep-learningmachine-learningdistributed-deep-learningdistributed
ShichengChen/ShichengChen.github.io
Jan 2018 - Nov 2022
Contributions:64 commits, 56 pushes, 1 branch in 4 years 10 months
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