Leonardo Romor is an AI Infrastructure Engineer based in Amsterdam with 11 years of experience building production-ready ML systems and tooling. He has progressed from R&D roles in Italy to senior AI engineering positions at Ellogon.AI and now leads infrastructure efforts at New Theory, bridging research-grade models and reliable deployment. His background combines physics, high-performance computing, and a Master's in Artificial Intelligence from Universiteit van Amsterdam, enabling a pragmatic approach to scaling compute-intensive workloads. Comfortable across model serving, optimization and cluster-level engineering, he focuses on making advanced models operational for real-world products. Notably, his trajectory reflects a strong emphasis on performance engineering—turning research prototypes into efficient, maintainable services. He brings both deep technical rigor and hands-on delivery experience to ML platform challenges.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Università degli Studi di Trieste
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Universiteit van Amsterdam
Master, High Performance Computing, Master, High Performance Computing at SISSA
For Beaglebone Black: A G-code interpreter and stepmotor controller for coordinated moves of up to 8 steppers. Uses the Programmable Realtime Unit (PRU).
Contributions:2 PRs, 165 pushes, 29 branches in 6 years 3 months
Contributions:36 pushes, 8 branches in 3 years 8 months
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Leonardo Romor - AI Infrastructure Engineer at New Theory