Dan Singer

Spearheaded gameplay programming and served as the go-to engineer for integrating the Gameplay Ability System in an Unreal Engine 5 project. Set up game mode, spawning rules, and an interaction system in a networked environment. Developed an inventory system using C++, data assets, Enhanced Input, and MVVM. For released titles such as Harry Potter: Quidditch Champions and Suicide Squad: Kill the Justice League, implemented a multithreaded MVVM system for UI, developed input detection systems for various controllers, created data-driven game feature management systems, developed combat abilities and HUD elements, and extended UI materials using Signed Distance Fields.

Created and maintained a node-based AI Event system in C++ by integrating and extending a third-party plugin. Developed new shaping behaviors for a custom fluid simulation. Profiled game performance using Unreal Insights and optimized gameplay code for better performance. Earlier role involved developing a core AI decision-making system and iterating on AI characters using the Environment Query System and Gameplay Ability System, incorporating feedback from designers and animators.

Programmed new gameplay systems and contributed to existing systems under the direction of game designers for the title Ara: History Untold using a custom C++ engine.