Victor Dibia Portfolio
Principal Research Software Engineer at Microsoft and core contributor to AutoGen and its successor, the Microsoft Agent Framework; author of the 2025 book "Designing Multi-Agent Systems," which walks through agent design patterns and implementation with 46 diagrams and 154 code examples, and built AutoGen Studio, a no-code multi-agent workflow builder with 600,000+ downloads.
What makes it work
A breakdown of the choices that make this portfolio stand out.
A full book on agent design patterns, not just a framework README
Designing Multi-Agent Systems formalizes patterns (coordination, role assignment, communication) into a structured reference, a more durable teaching artifact than scattered blog posts about the same framework.
Both the low-level framework and a no-code layer on top of it
Building AutoGen (the programmable core) and AutoGen Studio (a visual interface on top of it) shows a design sense that spans from framework internals to how less technical users actually construct agents.
A body of published, peer-reviewed research underneath the applied tools
Citations in ACL, EMNLP, AAAI, and CHI venues alongside patents show the applied agent-framework work is backed by a real academic research record, not framework engineering alone.
What AI Agent Architects can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
If you understand the recurring design patterns in your framework, write them up as a structured reference, not just scattered documentation.
Build both the low-level tool and a simplified interface on top of it — it shows you understand the pattern deeply enough to make it accessible.
Where your applied work has research underneath it, cite the papers directly — it distinguishes engineering built on studied principles from engineering by trial and error.
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