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
11 years of employment as a software developer
Bachelor's Degree Actuarial Science, Bachelor's Degree Actuarial Science at Makerere University
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Cavendish University
Certified Public Accounting Accounting and Business/Management, Certified Public Accounting Accounting and Business/Management at Institute of Certified Public Accountants of Uganda
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