Martin Andrews
Head Of AI at Cambridge Business Solutions Pte Ltd
Singapore
Summary
👤
Senior🎓
Top SchoolMartin Andrews is a seasoned AI leader and entrepreneur with 13+ years of experience spanning finance, machine learning research, and production-grade software, and he currently heads AI at Red Dragon AI Pte Ltd in Singapore. He returned to his ML roots after earning a PhD in Machine Learning from the University of Cambridge, combining academic depth with global product development and hands-on engineering. An active open-source contributor, he refactors and extends ML systems such as the PyTorch Relational Networks implementation, introducing a CNN-MLP architecture for comparison, and contributes across shader programming and frontend code in projects like shader-school. He has been recognized as a Google Developer Expert in Machine Learning and has led fintech/software ventures as founder/MD, including Cambridge Business Solutions and PLATFORMedia. Based in Singapore, he leads stealth-mode deep learning products while delivering regional DL workshops, translating quantitative finance expertise into scalable, auditable AI systems.
14 years of coding experience
14 years of employment as a software developer
University of CambridgeEltham College
French, Japanese
Github Skills (20)
webgl10
pytorch10
shader10
python10
machine-learning10
webgl210
glsl10
deep-learning10
graphics-programming10
fasterrcnn9
javascript9
refactor9
refactorings9
javascripts9
mask-rcnn9
Programming languages (6)
Github contributions (5)
stackgl/shader-school
Aug 2014 - Aug 2014
:mortar_board: A workshopper for GLSL shaders and graphics programming
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 commits in 6 days
Contributions summary:Martin contributed to several exercises within the shader-school repository, addressing bugs and implementing improvements related to shader code. The contributions included fixes for issues with circle rendering, initial state initialization in GPGPU examples, and corrections to shader logic. The user also made adjustments to JavaScript code and shader files, suggesting a working knowledge of both frontend and shader languages.
boardworkshopperwebglshadersopengl
kimhc6028/relational-networks
Jul 2017 - Jul 2017
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Role in this project:ML Engineer
ML EngineerContributions:6 commits, 1 PR, 1 comment in 1 day
Contributions summary:Martin refactored the provided relational network model, introducing a CNN-MLP architecture for comparison. They implemented and debugged Python3 compatibility, ensuring the project's functionality. The user modified data loading and model saving, enhancing the training and evaluation process. The commits also involved refactoring code, improving the overall structure and readability of the project.
pytorchrelationalsimple-neural-networkdeep-learningneural-network
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