Ahmed Shifaz is a software engineer and machine learning researcher with a PhD in Artificial Intelligence from Monash University and 11 years of experience building both research-grade ML systems and production web applications. He specialises in accurate, scalable time series classification, has developed state-of-the-art algorithms and a research library in C++, Python and Java, and has published in high-impact journals. Equally comfortable leading teams and shipping product, he spent three years as a team lead delivering Laravel/VueJS MS SQL web systems for the Maldives Pension Administration and now contributes to software engineering at Our Community. A seasoned Scrum Master with DevOps experience, he bridges rigorous academic research and practical engineering to take novel ML methods from prototype to production. An often-overlooked strength is his cross-stack fluency—from low-level C++ algorithmics to full-stack web development—which helps him optimise pipelines end-to-end.
11 years of coding experience
3 years of employment as a software developer
MURPA 2013-2014 (Monash Undergraduate Research Projects Abroad), Computer Software Engineering, MURPA 2013-2014 (Monash Undergraduate Research Projects Abroad), Computer Software Engineering at University of Warwick
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Monash University
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