Chenyu Tian
Machine Learning Engineer at Meta
Shenzhen, Guangdong Province, Singapore
Summary
🤩
Rockstar🎓
Top SchoolChenyu Tian is a machine learning engineer with a decade of professional experience and over three years focused on industry ML deployments, currently on Meta’s ML team in Shenzhen/Singapore. He built high-accuracy ETA prediction models at Alibaba for Amap, improving long-distance travel time estimates during peak travel periods for a product with millions of daily users. Prior research at Tencent produced a published graph-based location embedding method for modeling human mobility, showing strength in unsupervised and graph learning for spatiotemporal signals. Trained in data science at Tsinghua with an undergraduate background in transportation engineering, he combines domain knowledge in mobility with production ML rigor. Colleagues would note his ability to translate research ideas into scalable features that materially improve user experience at scale.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Transportation Engineering, 3.8/4, Bachelor's degree, Transportation Engineering, 3.8/4 at Sun Yat-sen UniversityMaster of Engineering - MEng, Data Science, Master of Engineering - MEng, Data Science at Tsinghua University
Github Skills (12)
machine-learning10
python10
tensorflow9
neural-network9
deep-learning9
ml8
data-science8
deep-neural-networks8
computer-vision3
image-processing3
image-compression2
pytorch2
Programming languages (2)
Github contributions (5)
tiankuan93/FLiXT-ChaLearn-LAP-Gesture-Recognition
Aug 2016 - Jun 2024
Contributions:5 pushes, 1 branch in 7 years 10 months
tencent-ailab/V-Express
May 2024 - Feb 2025
V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.
Contributions:4 PRs, 27 pushes, 40 comments in 9 months
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