Victor Dibia is a Principal Research Software Engineer based in California with 12 years of experience building applied AI systems that bridge research and production. At Microsoft he leads work on agentic AI, contributing to frameworks like AutoGen and shipping polished front-end interfaces for interactive AI demos. His background spans ML engineering and real-time computer vision—authoring a TensorFlow-based hand-tracking project—and reflects a practical focus on performant, user-centered models. Comfortable across HCI and system-level concerns, he combines research rigor with product-minded implementation. Colleagues rely on him to translate exploratory ideas into robust, documented prototypes that accelerate team experimentation. He often surfaces subtle UX and developer-experience improvements that make complex AI systems more accessible.
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
Role in this project:
ML Engineer
Contributions:29 commits, 4 PRs, 44 pushes in 3 years 2 months
Contributions summary:Victor primarily focused on developing a real-time hand detection system using neural networks. Contributions include adding comments to the code and integrating video input for the model. The user worked on multiple files including single and multi-threaded detection scripts.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
Role in this project:
Front-end Developer
Contributions:2 releases, 318 reviews, 210 PRs in 1 year 7 months
Contributions summary:Victor primarily contributed to the development of a sample web application built with AutoGen, focusing on frontend components and UI improvements. Their commits included adding research assistant code, refining UI elements, and addressing layout and build issues. They also updated the README and documentation, enhancing the application's usability and providing clear instructions. The user demonstrated skills in building and maintaining the frontend of the web application.
agenticagentic-agiagentsaiautogen
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