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Chris Ferrario
Principal Gameplay/AI Programmer specializing in game AI and gameplay systems
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About
Gameplay/AI engineer with end-to-end ownership of racing-sim AI (fair physics parity, competitive overtaking) and strong iteration tooling (live tuning + config). Has shipped networked VR multiplayer work at Ready At Dawn, including a consensus-style goal validation approach to reconcile non-deterministic replication/smoothing discrepancies, plus experience with Havok/Bullet, spline math (Catmull-Rom), and complex creature/boss animation behaviors.
Experience
Education
Key Strengths
- Owned end-to-end AI behavior/logic for a racing simulation title
- Built live tuning tooling and config system to iterate AI parameters in-game
- Strong debugging/diagnostics workflow using automated runs and visual debug instrumentation
- Designed fair-but-competitive AI using equivalent physics and predictive risk-taking
- Solved VR multiplayer goal-validation discrepancies caused by non-deterministic replication via client voting + peer arbitration
- Mitigated poor-network divergence with interpolation and controlled teleports (including temporary collision disabling)
- Implemented spline-based AI pathing/authoring using Catmull-Rom with unit-test validation
- Extended animation/behavior systems for complex bosses and non-bipedal creatures in VR contexts
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