Summary
He Liu is a full-stack developer and data scientist with a decade of hands-on experience building production-ready systems and ML-driven products across finance, research, and healthcare. With a Master's in Data Science and thesis work at ETH Zürich, he specializes in time-series analysis, human activity recognition, and open-set classification for wearable sensors—adapting computer-vision techniques to real-world accelerometer data. He has delivered high-impact solutions from a 90%+ true positive anomaly detector for tunneling shotcrete to AI-powered medical-reporting features in cross-platform Flutter apps using AWS. A pragmatic coder fluent in PyTorch, TensorFlow, scikit-learn, Dask and data engineering, he bridges research and product by designing scalable pipelines and synthetic-data strategies to handle large, noisy datasets. He also has a background in quantitative trading and built an automated sentiment-driven trading system that realized substantial returns, reflecting a strong blend of statistical rigor and engineering execution. Based in Portugal, he is seeking entry-level to early-career data roles where he can rapidly apply his cross-disciplinary expertise to drive measurable impact.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at University of Zurich
Visiting and Thesis Student, Computer Science, Visiting and Thesis Student, Computer Science at ETH Zürich
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Southern University of Science & Technology
Chinese, English