Summary
Alexandros Popov is a CTO and PhD-trained ML/GenAI engineer with over 10 years of experience delivering computer vision and agentic AI systems from brain imaging research to enterprise production. He has led end-to-end technical ownership—scoping, building, and deploying real-time vision solutions at Sanofi and defining product strategy at Deepomatic—while also founding AI startups like Junior-AI and now building his own ventures. His academic work produced a large-scale human brain dataset and a novel reinforcement learning approach to tractography, blending deep learning with microstructural priors and high-performance C++/PyTorch pipelines. Comfortable across research and industry stacks, he codes in C++, Python and JS, designs scalable infra, and applies visualization and software-engineering best practices. Based in Versailles, he combines rigorous scientific thinking with product-focused execution and a photo enthusiast’s eye for signal and structure. Notably, he has hands-on experience acquiring 11.7T MRI data and managing terabyte-scale imaging pipelines—an uncommon bridge between wet-lab data collection and production ML.
10 years of coding experience
3 years of employment as a software developer
Traitement du Signal - Traitement des images - Informatique - Mathématiques, Traitement du Signal - Traitement des images - Informatique - Mathématiques at Centrale Lyon
Cours de spécialisation de 3 mois. Traitement du signal, Cours de spécialisation de 3 mois. Traitement du signal at École normale supérieure de Lyon
Mathématiques et Physique, Mathématiques et Physique at Lycée Hoche de Versailles - MPSI et MP
Russian, French, English