Alexander Gielisse

PHD Candidate

Randstad, Netherlands
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at TU Delft
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Delft University of Technology
bookPre-University, Mathematics and Physics Programme, Pre-University, Mathematics and Physics Programme at Teylingen College Leeuwenhorst
github-logo-circle

Github Skills (81)

minecraft10
python10
code-analysis10
deep-learning10
gpu10
command-line-tool10
neat10
static-analysis10
numpy10
ant-task10
neural-network10
ant10
java10
checkstyle10
conventions10

Programming languages (4)

JavaShellC++Python

Github contributions (5)

github-logo-circle
SanderGielisse/Mythan

Jul 2016 - Oct 2020

Mythan is a Java implementation of the NEAT algorithm as described by Kenneth O. Stanley and Risto Miikkulainen.
Contributions:12 commits, 1 PR, 19 pushes in 4 years 3 months
javaneatneat-algorithm
Contributions:44 pushes, 1 branch in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Alexander Gielisse - PHD Candidate