Alex Rozgo is a founder and CTO with 11 years of experience architecting multi-agent simulations, games, and embodied AI systems from the Bay Area. He builds scalable RAGs, physics-driven simulation pipelines, and immersive experiences that fuse humans, robots, and LLM-powered agents for training and play. Previously he led simulation science at Shield AI and pioneered distributed MMO economics and reactive engines at Beyond Games, blending research-grade RL pipelines with production engineering. An active open-source contributor, he enhanced peer-to-peer WebRTC networking for Rust/WASM in the matchbox project, bridging native and browser runtimes. Alex’s work is distinctive for combining deep systems engineering, custom 3D/physics engines, and fine-tuning of LLMs for embodied behaviors—skills he applies to narrow the reality gap between virtual and physical agents.
11 years of coding experience
23 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at University of El Tuque
Painless peer-to-peer WebRTC networking for rust wasm (and native!)
Role in this project:
Full-stack Developer
Contributions:4 reviews, 7 commits, 3 PRs in 21 days
Contributions summary:Alex focused on enhancing the `matchbox` project, a Rust-based peer-to-peer WebRTC networking library. Their work involved upgrading WebRTC dependencies and implementing data channel creation and ICE candidate handling across both native and wasm environments. They also addressed code formatting and conducted refactoring to improve the project structure and code quality.
PyTorch GStreamer elements in Rust for Computer Vision and Deep Learning
Contributions:44 commits, 2 PRs, 14 pushes in 2 years 7 months
computer-visiondeep-learninggstreamerpytorchrust
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