Alex Rozgo

Simulation and AI Engineer

Alex Rozgo is a highly experienced technology professional with a diverse background in game development, simulation, artificial intelligence, and blockchain technology. Currently, he serves as the Chief Technology Officer at Sortium, where he is responsible for developing AI-driven technical pipelines for games and virtual production.1

Career Highlights

Game Development and Simulation: Alex has an extensive career in game development, starting as a Lead Engineer at Vernet, Inc. and later working as a Software Engineer at LucasArts, contributing to Star Wars: The Force Unleashed. He also founded Beyond Games, where he served as CTO and developed a custom reactive rendering engine for mobile games.1

Artificial Intelligence and Robotics: At Shield AI, Alex led the development of a defense metaverse, focusing on massive multi-agent testing and learning in real physics simulations. He has also worked on developing artificial intelligence for autonomous robots and synthetic datasets for machine learning training.1

Blockchain and Virtual Economies: As the Director of Technology at SugarFunge Protocol, Alex designed and developed a blockchain platform for privately owned economies, working on game theory and economy simulators.1

Current Role and Expertise

At Sortium, Alex is involved in:

Fine-tuning generative AI models
Building infrastructure for game AI at scale
Product development for the creators platform1

Alex is known for his work in real-time motion transfer using deep computer vision, with each frame taking approximately 30 ms from camera capture to final render.4 He has also been involved in teaching large language models (LLMs) to use professional game development tools.3

Education

Alex Rozgo studied Mathematics and Computer Science at the University of El Tuque.1

With his LinkedIn username "rozgo," Alex describes himself as a professional developing games and simulations for humans and AI.2 His expertise spans graphics, games, robotics, simulation, blockchain, embedded systems, LLMs, and diffusion models.5