Yifan Zhou
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolYifan Zhou is a software engineer and PhD student based in Singapore with 7 years of experience bridging IoT, full-stack development, and ML model deployment. Educated in IoT (BEng) and MIT-MBA (MSc) frameworks, he combines clean-code engineering and Android/web expertise with product-minded skills in B2B/B2C product management and DevSecOps. As an ML engineer contributor to the notable OpenMMLab/mmdeploy project, he implemented backend evaluation tools, resolved ONNXRuntime edge-case bugs, and added unit tests that improved model deployment reliability. Comfortable operating at the intersection of research and production, he brings practical ICT project management and calibration tooling experience to teams working on deployable AI systems.
7 years of coding experience
Bachelor's degree, IOT, Bachelor's degree, IOT at ChengDu Neusoft UniversityMaster's degree, MIT-MBA, Master's degree, MIT-MBA at James Cook University Singapore
Chinese, English
Github Skills (10)
tensorrt10
pytorch10
deploying10
onnxruntime10
python10
model-testing10
deeplearning-ai9
deep-learning9
computer-vision9
object-detection8
Programming languages (4)
Github contributions (5)
open-mmlab/mmdeploy
Aug 2021 - May 2022
OpenMMLab Model Deployment Framework
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 42 reviews, 44 commits in 9 months
Contributions summary:Yifan made several contributions to the deployment framework, focusing on integrating and testing backend models. They added tools for evaluating backend models on detection and classification datasets, including the implementation of test tools and reorganization of API utils. The user addressed ONNXRuntime bugs related to empty pictures and zero-tensor issues. They also aligned configuration files for the mmedit project and added unit tests for core APIs and calibration tools.
pytorchncnnpplnndeep-learningdeployment
SingleZombie/DL-Demos
May 2022 - Nov 2022
Demos for deep learning
Contributions:37 commits, 47 PRs, 61 pushes in 6 months
deep-learningpytorchmachine-learning
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