Alex Olar is a Senior Deep Learning Engineer based in Budapest with nine years of experience bridging theoretical research and applied computer vision across academia and industry. He has a strong research pedigree—PhD work and roles at Eötvös Loránd University and the Rényi Institute—paired with hands-on product and prototyping experience at AUMOVIO, Johns Hopkins, Nokia Bell Labs, and client-facing ML projects on Upwork. His work spans medical imaging segmentation, 3D neural rendering (NeRF-like tool development), optimization and interpretability research, and practical ML deployments such as retail object detection and OCR. Comfortable moving between notebooks and production pipelines, he blends rigorous theoretical insight with rapid proof-of-concept delivery for international clients. A lifelong learner who documents experiments for fun, he brings a curiosity-driven approach that often surfaces elegant, research-informed engineering solutions.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD (ongoing) Computer Science, Doctor of Philosophy - PhD (ongoing) Computer Science at Eötvös Loránd University
Master of Science - MS Actuarial and Financial Mathematics, Master of Science - MS Actuarial and Financial Mathematics at Corvinus University of Budapest
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
Alex Olar - Senior Deep Learning Engineer at AUMOVIO