Gabrijel Boduljak is a doctoral student in the Visual Geometry Group at the University of Oxford, focused on generative models for video, 3D and motion and on learning world models from raw visual data. With 12 years of software engineering experience spanning research internships at InstaDeep and Meta to production-facing roles in finance and startups, he blends rigorous research with pragmatic engineering. He contributed to high-throughput graph models for pMHC and antibody structure prediction that matched state-of-the-art accuracy while being far smaller and faster, and helped ship a new testing library at WhatsApp that exposed production bugs. An active open-source contributor, he has multiple PRs to Apple MLX, demonstrating interest in optimized ML tooling for edge hardware. He holds an EPSRC-funded DTP scholarship and combines strong systems-level coding experience with a growing research record in multimodal self-supervision.
12 years of coding experience
4 years of employment as a software developer
Computer Science and Mathematics BSc Mathematics and Computer Science, Computer Science and Mathematics BSc Mathematics and Computer Science at The University of Edinburgh
MSc in Advanced Computer Science Computer Science, MSc in Advanced Computer Science Computer Science at University of Oxford
Mathematics and Computer Science Software Development, Mathematics and Computer Science Software Development at Treca Gimnazija Split
Contributions:2 PRs, 86 pushes, 8 branches in 2 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
Gabrijel Boduljak - Doctoral Student at University of Oxford