Benjamin Rukundo is a research-focused software engineer with 10 years of experience applying machine learning and embedded IoT systems to health and environmental challenges. Currently a Research Assistant at AI_HealthLabMak, he develops and refines diagnostic ML models and generates AI-driven reports while collaborating across multidisciplinary teams. His background includes hands-on IoT work—designing GSM/LoRa networks and energy-efficient Raspberry Pi deployments for smart beehive monitoring—and applying ML to detect hive health issues that boost honey yield. A First Class BSc in Software Engineering from Makerere and recent mathematics-for-ML training at UCL underpin his technical rigor, and he actively shares code and problem-solving on GitHub and LeetCode with an interest in Bitcoin & Lightning technologies. Notably, he blends field-deployed hardware experience with model development, making him effective at moving research prototypes toward practical impact.
10 years of coding experience
2 years of employment as a software developer
Bachelor's of Science in Software Engineering, software and technology, First Class Honours, Bachelor's of Science in Software Engineering, software and technology, First Class Honours at Makerere University
O & A levels, Mathematics Physics Chemistry Information Technology, O & A levels, Mathematics Physics Chemistry Information Technology at Makerere College School
Contributions:41 commits, 38 pushes, 1 branch in 14 days
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Benjamin Rukundo - Research Assistant at AI_HealthLabMak