Ren Foo is a Quantitative Developer based in Singapore with 10 years of software engineering experience bridging machine learning and production systems. He has driven MLOps and inference productionisation efforts—migrating hundreds of models into containerised OpenShift environments, building MLFlow/Nexus integrations and reusable Python frameworks—most recently at Squarepoint after senior engineering roles at Almanak and EPAM. Comfortable across backend, data pipelines and mobile/edge CV, he has shipped solutions from Kedro and Airflow orchestration to TensorFlow.js computer-vision demos and virtual filesystem replacements for legacy storage. Ren pairs pragmatic engineering with stakeholder communication, translating complex designs into flowcharts and realistic delivery plans while mentoring peers. His background in ROS robotics research and adjunct teaching on UAV systems hints at a hands-on hardware-to-software fluency not obvious from his MLOps résumé.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree EEE , Bachelor’s Degree EEE at Nanyang Technological University Singapore
English, Chinese, Japanese
Github Skills (48)
lstm-neural-networks10
git10
github10
principal-component-analysis10
editor9
patch9
microsoft9
electron9
tableau9
visual-studio-code9
vscode-extension9
typescript9
kdb9
visual-studio9
vscode9
Programming languages (7)
TypeScriptC++JavaScriptHTMLPerlRich Text FormatPython
Contributions:66 commits, 4 PRs, 87 pushes in 1 month
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