What if agents were the first line of response for deployment problems—not just diagnosing issues, but actively fixing them? This talk explores how to leverage agents to automatically resolve build and test failures, identify runtime discrepancies, and execute runbooks, turning reactive deployment support into an intelligent, self-healing workflow.
Gabriel Nahum is an ai advisor at GeyserData inc specializing in machine learning, core infra and software engineering. Concurrently with Geyserdata he is a tl at meta and was a member of technical staff at xAI, where he contributed to the development of the Grok-4 and Grok-4.1 language models. Gabriel holds a B.S. in Electrical Engineering and Computer Science from the University of California, Berkeley, and brings extensive technical expertise across Python, mobile platforms, and large-scale AI systems.
