REAL-TIME SYSTEMS, SIMULATION, AND BACKEND INFRASTRUCTURE
I'm Christopher Ravosa, a software engineer focused on simulation systems, autonomous agents, networking, and scalable backend infrastructure. My work spans real-time simulation, ML-Agents training environments, deterministic replay systems, matchmaking services, backend APIs, and production tooling. I’ve built systems for live products, large-scale mobile applications, and latency-sensitive multiplayer environments.
Built core simulation and agent-training systems for a live AI-driven arena, including ML-Agents environments, runtime-configurable training workflows, deterministic recording/replay pipelines, and modular gameplay services.
Contributed engineering for MLB’s VisionOS experience, working within the constraints of an early platform release to ship stable, production-ready interactive systems.
Built backend APIs, TCP-based matchmaking services, leaderboard systems, and data pipelines for large-scale mobile applications serving live player traffic.
Developed host-authoritative multiplayer systems with a focus on replication, authority, synchronization, and gameplay stability under latency and packet loss.
Implemented gameplay systems and scripted interactions in a large-scale production environment, collaborating across design, engineering, and content teams.
For opportunities or inquiries, reach out via LinkedIn or email me at christopher.ravosa99@gmail.com.