Summary
Albert Negura is a Machine Learning Engineer with nine years of experience building scalable, production-ready AI systems across generative AI, computer vision, NLP and adversarial robustness. He has delivered end-to-end solutions from research to deployment—optimizing GPU infrastructure, designing MLOps for adversarial testing, and integrating models into TypeScript and Rust production stacks. Comfortable working solo or in cross-functional teams, he has a track record of inventing new workflows (e.g., panoramic/multimodal generation and efficient tiled segmentation) and reducing operational costs through careful system-level optimization. Based in Sittard, Netherlands, he blends strong academic foundations in AI and physics with hands-on cloud, DevOps and low-level engineering experience. Not obviously, he also has a background in robotics and embedded systems work, which informs his pragmatic approach to real-world ML constraints.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Maastricht University
Ecole Europeenne Bruxelles 1
Bachelor of Science (BSc) Physics with Astrophysics, Bachelor of Science (BSc) Physics with Astrophysics at University of Bristol
English, Romanian, German, French, Dutch