Summary
Alexander Gielisse is a PhD candidate in Artificial Intelligence at TU Delft with 11 years of hands-on software engineering experience spanning research-grade deep learning and large-scale production systems. He combines a strong academic record (MSc thesis graded 9.5/10) with practical leadership as a former lead developer running widely used Java-based game and plugin platforms that served thousands of users. His research focuses on implicit image representations in computer vision, building on prior generative adversarial network work and PyTorch-based experimentation. Comfortable across the stack, he has built back-end systems, deployment tooling with Docker, and front-ends in Vue while operating as the main system administrator for distributed server fleets. He brings a pragmatic blend of production reliability and research curiosity, having moved projects from prototype to public adoption and customer support at scale. Based in the Randstad, he uniquely bridges developer operations, product-facing responsibilities, and cutting-edge AI research.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at TU Delft
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Delft University of Technology
Pre-University, Mathematics and Physics Programme, Pre-University, Mathematics and Physics Programme at Teylingen College Leeuwenhorst