2026-02-13 –, VYAS - 1 - Room#VY102
Are you a Sysadmin, DBA, or seasoned DevOps Engineer worried about where your career fits in the age of generative AI? The truth is, your skills in production reliability, infrastructure automation, and data management are not obsolete—they are the most critical 80% needed for the hottest job in tech: MLOps Engineer.
This lightning talk is designed to empower you as an AI Operator without requiring you to become a Data Scientist. In 15 minutes, we will demonstrate how to leverage your existing expertise in containers (Docker), cloud infrastructure, and CI/CD pipelines to build, deploy, and scale machine learning models. Learn how to translate your current operations skills into a practical MLOps strategy.
I am a Director of Platform Engineering in the Hybrid Cloud Management organization at Red Hat, with over 21 years of experience in the technology industry. Half of my career has been in hands-on engineering roles, and the other half in management and leadership positions. I have worked across Support, IT, and Engineering functions, contributing to and leading teams in areas such as Database Administration, Site Reliability Engineering, Platform Engineering, and Business Intelligence. My experience spans multiple technologies, products, and global teams, giving me a well-rounded perspective on building scalable platforms, driving operational excellence, and leading high-performing engineering organizations.