Moses Soh
Deputy CEO, Head Of Academic Innovation
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolMoses Soh is a product and policy-savvy technology leader with 11 years' experience blending public-sector digital transformation, fintech policy, and education innovation. As Deputy CEO and Head of Academic Innovation at Mind Stretcher, he pairs hands-on product delivery with strategic leadership grounded in prior roles at Open Government Products—where he launched PaySG and Pair used by tens of thousands of public servants—and senior analytic roles at MAS focused on digital currencies, crypto monitoring and banking supervision. Trained in finance and AI (Princeton MFin, Stanford AI certificate) and with early engineering experience at a YC-backed analytics startup, he moves fluently between technical implementation, regulatory nuance, and scalable service design. Notably, he has built and scaled government-grade identity and productivity platforms while also steering academic innovation, a rare combination that bridges civic tech and education.
11 years of coding experience
2 years of employment as a software developer
Master’s Degree, Master in Finance, Master’s Degree, Master in Finance at Princeton UniversityBSc Economics, Statistics and Finance, BSc Economics, Statistics and Finance at The Wharton SchoolGCE Cambridge A-Levels, GCE Cambridge A-Levels at Raffles Junior CollegeGraduate Certificate, Artificial Intelligence, Graduate Certificate, Artificial Intelligence at Stanford University
English, Chinese
Github Skills (33)
mscoco9
bitcoin9
blockchain9
lstm9
audio8
flux8
diffusion-models8
pytorch7
diffusers7
stable-diffusion7
deep-learning7
csv6
image-generation6
tensorflow6
migration6
Programming languages (3)
Github contributions (5)
mosessoh/CNN-LSTM-Caption-Generator
Jun 2016 - Jan 2018
A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.
Contributions:3 commits, 3 pushes, 1 branch in 1 year 7 months
lstmmscocotensorflow
mosessoh/iconcolor
Dec 2017 - Dec 2017
Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.
Contributions:14 commits, 13 pushes, 1 branch in 7 days
convolutional-neural-networksmachine-learningdeep-learningpytorchicons
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