Pathfinding | Carlos Mazcuñán

01. Pathfinding Sandbox

Developed as an academic exercise together with Marc Folgado, this Pathfinding Sandbox explores classic search algorithms over a configurable grid. The scenario features a controllable agent, a target node, and blue obstacle tiles that cannot be traversed. Users can launch different strategies, with A* highlighted for its optimal-path guarantees and efficiency.

The visual layer is rendered with our school's internal graphics framework, while ImGui powers an interactive control panel to tweak heuristics, toggle diagonal movement, or inspect open and closed sets in real time. This combination makes it easy to compare algorithm behaviour and understand how cost functions influence the final path.

The project also includes a dedicated "Pac-Man" mode that recreates the classic maze. Enemy ghosts reuse the A* implementation to chase the player, showcasing how the navigation system adapts from sandbox experimentation to gameplay.

02. About Me

Hello, I'm Carlos Mazcuñán Blanes, a programmer based in Spain and titled in HND in Videogame Programming at ESAT.

Key Skills:

Programming Languages: C, C++, ARM Assembler, Python
Graphics: OpenGL, GLSL (shaders)
Engines: Unity, Unreal Engine 5
Tools: Git, Perforce, code profiling and optimization

Highlighted Projects:

Collaborative Game: Implemented gameplay mechanics while working closely with artists and designers.
Custom Graphics Engine: Built in C++ with OpenGL, implemented rendering, shading, and texture mapping.

I'm passionate about real-time performance and enjoy collaborating in multidisciplinary teams.

C/C++
Unreal Engine
OpenGL
Unity
ARM Assembler
Python
Git
Perforce
Game Engine Architecture
HTML
CSS

03. Contact

I'm currently looking for new opportunities as a programmer. Whether you have a question or just want to say hi, I'll do my best to get back to you!

Get In Touch