Phillip Ssempeebwa
ML Engineer, Software Developer
Kampala, Uganda
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Phillip Ssempeebwa is an innovative Software Developer and AI Researcher with over three years of experience building intelligent systems, web applications, and scalable digital solutions. His work bridges machine learning, environmental AI, and full-stack engineering—driven by a deep commitment to sustainability and impact.
As an AI Research Fellow at the Deep Learning IndabaX AI Research Lab, Phillip focuses on developing efficient deep learning models for medical imaging, natural language processing, and climate resilience. His projects include a hierarchical chest X-ray diagnosis pipeline using EfficientNet, environmental AI for carbon estimation, and transformer-based models for text authenticity detection.
Phillip also serves as Technical Officer at Computing Palace Technologies and contributes to multiple organizations including Radix Management Consulting and Web Info Net Institute of Technology, where he designs and optimizes web infrastructure, trains teams, and drives digital transformation.
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Phillip Ssempeebwa
ML Engineer, Software Developer
Kampala, Uganda
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