Eugene Teoh
Machine Learning Engineer at Wayve
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolEugene Teoh is a Machine Learning Engineer based in London with seven years of experience specializing in robot learning and applied ML across industry and research settings. He has helped build robot learning efforts at Dyson as a founding member of their Robot Learning Lab and now applies that expertise at Wayve, following roles delivering MLOps, time series, and computer vision solutions at AWS. His background spans hands-on robotics algorithms (multi-agent path finding and task assignment), anomaly detection for streaming data, and quantitative research using Kalman filters, reflecting a rare mix of research depth and production-focused engineering. Comfortable bridging prototype research and scalable deployment, he also communicates technical ideas publicly via his site and GitHub, signaling an outward-facing approach to collaboration and reproducibility.
7 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Master of Engineering - MEng at University of SouthamptonMaster of Engineering - MEng, Master of Engineering - MEng at University of Southampton MalaysiaPRINCE OF WALES ISLAND INTERNATIONAL SCHOOL
English, Chinese, Malay
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (133)
benchmark10
python10
mxnet10
prophet10
sagemaker10
amazon-sagemaker10
huggingface10
deep-learning10
robustness10
uncertainty10
pybullet10
deploying10
jupyter10
unity-editor10
unity-ci10
Programming languages (8)
Github contributions (5)
eugeneteoh/COMP6248-Deep-Learning
Feb 2021 - May 2021
Contributions:74 commits, 64 pushes, 1 branch in 2 months
eugeneteoh/COMP6247-Reinforcement-Online-Learning
Feb 2021 - Jun 2021
Contributions:51 commits, 45 pushes, 5 branches in 3 months
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