Alejandro Mujica is a Senior Backend Developer with 11 years of experience blending high-performance C++ systems and pragmatic Python backends, currently building streaming and backend solutions at Qaroní while teaching and researching at Universidad de los Andes. He brings deep expertise in algorithms, data structures, graph modeling and optimization—work that began in 2012 contributing to the Aleph-w library and later developing his own DeSiGNAR teaching library. Alejandro has applied his low-level systems skills in production at Genius Sports (Rust/C/C++/GStreamer) and built financial and crypto payment backends with Django and DRF, showing a rare combination of performance engineering and web API design. As an educator and researcher he mentors theses and develops university courses in algorithms, game programming and computer graphics, and has used simulation and computational geometry for robotics and environment modeling. He often bridges academic rigor and industry delivery, for example turning research-grade data-structure libraries into teaching tools and production services that handle real-time streaming workloads.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Modeling and Simulation, Master's degree, Modeling and Simulation at Universidad de los Andes (VE)
Technical College's Degree, Computer Science, Technical College's Degree, Computer Science at Instituto Universitario de Tecnología Antonio José de Sucre - Extensión Barquisimeto
Contributions:18 pushes, 1 branch in 4 years 4 months
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