Wangyang Hu
Research Assistant at A*STAR - Agency for Science, Technology and Research
Singapore
Summary
🤩
Rockstar🎓
Top SchoolWangyang Hu is a research-focused software engineer and CS master’s student at NUS with six years of experience in data science, computer vision, and time-series machine learning. Currently a Research Assistant at A*STAR and formerly a Research Scientist Intern at Adobe and an intern at OPPO, he blends academic rigor with applied engineering. He has contributed to TODS, an open-source automated time-series outlier detection system, improving AutoEncoders, VAEs, NNMF models and expanding detection algorithms like Telemanom and DeepLog. Comfortable across model development, testing frameworks, and production-focused integration, he seeks roles in software development or data science where research-grade solutions meet real-world scale.
7 years of coding experience
Bachelor's degree, Software Engineering, Bachelor's degree, Software Engineering at University of Electronic Science and Technology of ChinaMaster's degree, Master of computing(Infocomm Security), Master's degree, Master of computing(Infocomm Security) at National University of Singapore
Github Skills (11)
machine-learning10
time-series10
anomaly-detection10
python10
outlier-detection10
autoencoder10
data-analysis10
scikit8
scikit-learn8
tensorflow7
automl7
Programming languages (3)
Github contributions (5)
datamllab/tods
Jan 2021 - Oct 2022
TODS: An Automated Time-series Outlier Detection System
Role in this project:
ML Engineer
ML EngineerContributions:44 commits, 20 PRs, 59 pushes in 1 year 9 months
Contributions summary:Wangyang primarily contributed to the development and testing of machine learning models for time series outlier detection. Their commits involved fixing and modifying existing models such as AutoEncoders, VAEs, and NNMF. The user also made updates to the testing frameworks and test cases for time series anomaly detection models. Further contributions include integrating and testing additional detection algorithms like Telemanom and DeepLog, enhancing the functionality of the TODS system.
outlier-detectiontime-seriesautomlanomaly-detectionmachine-learning
hwy893747147/BTHOCOVID
Dec 2021 - Aug 2022
Contributions:18 pushes, 1 branch in 8 months
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