Summary
Miguel Gervassi is a Staff MLOps Engineer based in the New York City metro area with over 12 years of hands-on experience spanning DevOps, SRE, and production ML deployment. He has progressed through senior and leadership roles at The Weather Company, IBM, Tempus, and other firms, consistently focusing on making ML and data systems reliable, scalable, and operable in production. Comfortable bridging engineering and operational concerns, he’s led DevOps teams and built platform-level solutions that accelerate model delivery while improving observability and incident response. Miguel’s background includes early hands-on teaching and tooling—he built a Java sign-in/ sign-out system as a college lab coordinator—which hints at a practical, tool-first approach to problems. He brings both strategic leadership and day-to-day execution experience, helping organizations move models from experiment to resilient production.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Computer Programming/Programmer General, Bachelor of Science (B.S.) Computer Programming/Programmer General at Bloomfield College
English, Spanish