Jonathan Kayizzi is a software and systems engineer with a decade of professional experience, blending applied machine learning and full‑stack development with deep domain expertise in aviation, geoinformatics, and climate resilience. He recently completed an MS at Carnegie Mellon focused on software engineering and applied ML, and has led large migrations to Java Spring/React microservices, built revenue-driving digital aeronautical products, and maintained ICAO-compliant aeronautical databases in AIXM 5.1. His work spans computer vision, remote sensing, time-series modeling, and multi-sensor fusion—applied to projects like autonomous drone navigation for NAVAID calibration, runway condition classification from UAV imagery, and contrail prediction. Equally comfortable shipping backend APIs and front-end portals as he is designing ML pipelines, he’s delivered practical systems for national aviation authorities and climate‑smart agriculture programs. A pragmatic innovator, Jonathan often bridges operational constraints and research-grade models to turn geospatial and sensor data into automated, production-ready decision tools.
10 years of coding experience
4 years of employment as a software developer
Bachelor's in Computer Engineering, Computer Software Engineering, Bachelor's in Computer Engineering, Computer Software Engineering at Busitema University
Master of Science in Electrical and Computer Engineering, Software Engineering and Applied Machine Learning, Master of Science in Electrical and Computer Engineering, Software Engineering and Applied Machine Learning at Carnegie Mellon University
Full Stack Web Development - Javascript & Ruby, Software Development, Full Stack Web Development - Javascript & Ruby, Software Development at Microverse
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Jonathan Kayizzi - Senior AIM Officer - Charting Database