Chris Cui
Technical Lead - Machine Learning Engineering at Springer Nature Group
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolChris Cui is a Technical Lead in Machine Learning Engineering based in Melbourne with 11 years of experience delivering production AI across recommender systems, computer vision, forecasting, and agentic AI. He blends academic rigour—a PhD in Computer Science—with industry impact, leading ML teams at Endeavour Group and previously translating deep learning and computer vision into engineering outcomes at Aurecon. An active contributor to the research ecosystem, he serves as Associate Editor for Industrial Artificial Intelligence and peer-reviews for top IEEE journals, helping bridge applied ML and high-quality scholarship. He teaches and mentors postgraduate students at La Trobe University, and his background in control engineering and embedded systems gives him a rare systems-level perspective on deploying robust, real-world ML solutions.
11 years of coding experience
13 years of employment as a software developer
Master of Engineering (MEng) Electrical and Electronics Engineering, Master of Engineering (MEng) Electrical and Electronics Engineering at Harbin University of Science and TechnologyDoctor of Philosophy (PhD) Computer Science and Information Technology, Doctor of Philosophy (PhD) Computer Science and Information Technology at La Trobe University
English, Chinese
Github Skills (102)
python10
image-processing10
annotations10
rectangle10
deep-learning10
instance-segmentation10
backbone10
polygon10
paddlepaddle10
computer-vision10
classification10
semantic-segmentation10
image-annotation10
segmentation10
distributed-training9
Programming languages (12)
Github contributions (5)
cuicaihao/split_raster
Jul 2021 - May 2022
Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep learning and computer vision tasks, it can be applied to a wide range of applications.
Contributions:5 releases, 35 commits, 17 PRs in 10 months
computer-visiondeep-learningimage-recognitionimage-segmentationimage-splitting
cuicaihao/aerial-image-segmentation
Oct 2020 - May 2022
Aerial Image segmentation by PyTorch
Contributions:1 release, 45 commits, 1 PR in 1 year 7 months
pytorchsemantic-segmentationimage-segmentationaerial-image-segmentationaerial
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