I am a developer focused on software architecture, game development, and complex solutions.

I began studying C++ to make a career transition, coming from a strong background in high-level languages like JavaScript and PHP. The repositories you see here are the direct result of what I've learned and built over the past year.

When I first dove into game development, my biggest initial barrier was handling input from Sony/PlayStation controllers across different game engines. Overcoming this challenge required a deep dive into hardware-level communication. The results of this exploration are repositories like Unreal-Dualsense, Gamepad-Core, Pico_W-Dualsense, and various integration prototypes for other engines on the market.

The Next Step: Machine Learning Currently, I am developing a new library to make animation creation easier through machine learning. Since I had already been studying procedural animations and rigging, I decided to create this library to delegate the task of simplifying procedural animations to machine learning models. You can see the result of this work in the Neura-Rig repository.

• Neura-Rig: An AI-driven procedural animation library combining Unreal Engine's Control Rig with PyTorch's C++ library (LibTorch).
• Unreal-Dualsense: An open-source Unreal Engine plugin with an NDA-Safe Architecture (policy-based design) for seamless, compliant integration with proprietary SDKs.
• Gamepad-Core: A game engine-agnostic library for DualSense and DualShock integration on any platform with C++ support. It serves as the structural foundation for advanced gamepad communication and management.
• Pico_W-Dualsense: Hardware-level integration exploring gamepad communication and input handling.

When I'm not coding, tweaking Unreal integrations, or solving small compilation bottlenecks:

• 🛹 I'm skateboarding.
• 🥁 Listening to the classic sound of Minus the Bear (with a special shoutout to Erin Tate's drum lines).

📫 How to reach me: rafaelvaloto