Victor Dibia
He / him / his
Principal Research Software Engineer @Microsoft Research, Core Contributor to AutoGen, Author of "Multi-Agent Systems with AutoGen" Book, Previously @Cloudera, @IBMResearch
Victor Dibia is a Principal Research Software Engineer at Microsoft Research where his current work is focused on the design of multi-agent systems powered by Generative AI models. Victor is a core contributor to AutoGen - a leading python open source library for building multi-agent applications and the creator of AutoGen Studio, a low code interface for authoring, testing and debugging multi-agent workflows.
Agents That Improve Over Time: Lessons from Shipping an Optimizer
Improving an agent today usually means a manual loop: observe failures, hand-edit the agent's configuration, then re-run evals to validate the fix. This works for one agent, but becomes untenable for a fleet.
