Syakyr Surani is a Senior Platforms Engineer based in Singapore with nine years of experience building cloud-native ML and web platforms. He has progressed at AI Singapore from ML infrastructure apprentice to senior platforms engineer, specializing in deploying models on Kubernetes (Seldon Core) and automating delivery with GitLab CI. His background blends quantitative finance, algorithmic trading, and data engineering—skills he applies to productionizing AI services and tooling. Comfortable across front-end UI work and backend platform automation, he also maintains a public codebase on GitLab that documents his experiments in algo trading and web technologies. Colleagues rely on him to translate research models into reliable, user-facing APIs and reproducible deployment pipelines.
9 years of coding experience
5 years of employment as a software developer
GCE A Levels, Mathematics, Physics, Chemistry, Economics, GCE A Levels, Mathematics, Physics, Chemistry, Economics at St. Andrew's Junior College
Bachelor of Science (BSc), Quantitative Finance, Business Analytics minor, Bachelor of Science (BSc), Quantitative Finance, Business Analytics minor at National University of Singapore
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