Alejandro Borja

I’m an Applied Mathematics and Computer Science professional focused on backend architecture, algorithmic thinking, and artificial intelligence. I specialize in developing, reviewing, and optimizing complex Python and C++ applications, with a strong bias toward reliability, efficiency, and strict software development best practices.

In my work, I’ve engineered automation and data-pipeline improvements that reduce operational friction and improve system stability—like shrinking a full-day manual reporting process to a reliable 20-minute workflow with a 95% reduction in execution time, and building a Python normalization pipeline that achieved 100% system crash mitigation by eliminating frequent Excel non-responsive failures. I also design scalable analytics experiences (including Power BI dashboards with complex DAX) and deploy AI solutions, such as training and deploying YOLOv8 models for automated object detection and consolidated reporting. On the backend side, I’ve designed and deployed highly scalable FastAPI service architectures for mission-critical ERP systems, improving performance, securing 100% data referential integrity, and leading debugging efforts to resolve edge cases and logical inconsistencies.