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Yasar Gencer
Mid-level Game Developer specializing in Unity prototyping and hybrid casual puzzle games
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About
Unity gameplay programmer who modified A* pathfinding with controlled cost randomization (noise + local crowd density) to make grid-based agent movement feel more natural and less robotic, iterating via hands-on simulation tuning. Also built a Soccer Stars-style turn-based multiplayer prototype using Photon with lobby and matchmaking, and uses Copilot/ChatGPT to accelerate implementation.
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Key Strengths
- Improved game feel by adding controlled variability to A* pathfinding
- Able to balance efficiency vs. natural movement through custom cost functions (noise + crowd density)
- Iterative tuning using rapid simulation restarts and visual evaluation
- Built a small multiplayer game with Photon including lobby and matchmaking
- Uses AI coding assistants (Copilot/ChatGPT) to speed up repetitive implementation work
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