Summary
Sabre Didi is a Full Stack Software Engineer with over a decade of experience who combines production-grade development in Java/Kotlin, NodeJS, Python and React with deep academic research in machine learning, neural networks, neuro-evolution and reinforcement learning. Currently building resilient applications for maritime, commodities and logistics at Sedna, he previously architected scalable messaging and telecommunication systems on AWS while researching adaptive malware detection at ayoba. His background includes lecturing at multiple universities and a PhD in Computer Science from the University of Cape Town, giving him a rare ability to translate advanced research into practical, deployable systems. Sabre’s work spans backend architecture, real-time messaging, and data visualizations, and he often explores evolutionary approaches to AI that inform more robust production models. Colleagues rely on him to bridge theory and implementation, turning experimental ideas into maintainable codebases that solve domain-specific challenges. Based in the Western Cape, he brings both academic rigor and hands-on engineering to complex, distributed systems.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Cape Town
Master's degree Computer Science, Master's degree Computer Science at National University of Science and Technology (ZW)
English, ndebele