Summary
Eli Roussos is a founding machine learning engineer with 9 years of experience building production ML and systems infrastructure, currently leading the serverless GPU platform at Cerebrium in New York. He blends ML expertise and low-level systems work—authoring a custom Go reverse proxy, Rust sidecars, and Python runtimes—to achieve event-driven autoscaling with sub-3s cold starts on Kubernetes. Eli has a strong background in latency-sensitive trading systems from Invictus Capital, where he deployed multi-exchange bots and productionized Kubernetes-based strategy infrastructure. Educated at UCT (BSc Hons) and Cornell (MEng), he focuses on pragmatic, cost-efficient engineering—e.g., integrating JuiceFS to cut storage ops costs by 90% while maintaining multi-gigabit throughput. Outside work he’s an avid guitarist, surfer and padel player, reflecting a hands-on, experimental approach that shows up in both hobby and engineering projects.
9 years of coding experience
2 years of employment as a software developer
Data Science, Data Science at iXperience
Bachelor of Science (Honours) Computer Science, Bachelor of Science (Honours) Computer Science at University of Cape Town
Master of Engineering - MEng Electrical and Computer Engineering, Master of Engineering - MEng Electrical and Computer Engineering at Cornell University