Wei He is a Lead Machine Learning Software Engineer based in Singapore with 10 years' experience building and productionizing vision-based deep learning systems and MLOps pipelines. At Dyson he has driven end-to-end MLOps and CI/CD using Atlassian tooling and Terraform on AWS, and specializes in integrating optimized models for real-time inference on edge and mobile platforms. His background in research—focused on DNN compression and pixel-level semantic segmentation at NTU—gives him uncommon fluency in both model-level compression techniques and practical deployment constraints. Comfortable across the stack from data annotation to IaC, he accelerates product delivery by automating reproducible workflows and hardware-aware model optimization. Currently completing a Master of Engineering while leading ML engineering, he blends academic rigor with hands-on systems engineering to move advanced perception research into consumer products.
10 years of coding experience
4 years of employment as a software developer
diploma Science, diploma Science at Guangzhou Zhixin High School
Bachelor's degree Information and Computing Science(College of Mathematics and Informatics) , Bachelor's degree Information and Computing Science(College of Mathematics and Informatics) at South China Agricultural University
diploma, diploma at Guangzhou No.7 Middle School
Master of Engineering - M.Eng. Computer Science, Master of Engineering - M.Eng. Computer Science at Nanyang Technological University Singapore
Contributions:4 PRs, 10 pushes, 1 branch in 2 years 5 months
data-analysispythonminingdata-sciencedata-mining
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Wei He - Lead Machine Learning Software Engineer at Dyson