
Leo is a staff-level MLOps Engineer with over 15 years of experience in distributed systems, cloud infrastructure, and ML operations. His background includes building high-availability systems long before transitioning into ML-focused platforms. He has worked with US-based enterprise and AI companies operating ML workloads at significant scale.

Leo has designed ML platforms supporting multiple teams, shared model registries, and standardized deployment workflows. He is deeply involved in architectural decisions and long-term platform strategy.
His approach is platform-first: he focuses on building internal ML platforms that scale across teams, rather than solving isolated deployment problems. He is frequently consulted as a senior technical authority.

