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Building the Intelligence Layer Behind Nigeria’s Pharmacy Network: Durotimi Sikiru

Durotimi Sikiru works as an AI and Machine Learning Engineer at PharmacyOS, the technology platform developed by Famasi Africa, a Lagos-based healthtech company tackling one of Nigeria’s most persistent healthcare gaps: fragmented, inefficient medication access and pharmacy supply chains. Based in Nigeria, Sikiru describes his focus as building AI-driven solutions that simplify complex workflows, with experience spanning multimodal AI systems, voice agents, and intelligent automation tools aimed at helping individuals and organizations make better decisions.

PharmacyOS operates as an all-in-one operating system for pharmacies, combining inventory management, point-of-sale functionality, and mobile scanning into a single Android terminal, eliminating the need for pharmacies to maintain separate desktop systems. The platform underlies Famasi’s broader mission: connecting patients to more than 1,000 pharmacies across Nigeria with AI-powered medication management and same-day delivery, a response to a healthcare landscape where roughly 130 million Nigerians manage chronic illnesses and where half of patients fail to adhere to medication regimens due to access barriers, forgetfulness, or inadequate chronic care support. Famasi was founded in 2021 by pharmacist Adeola Ayoola and product lead Umar Faruq Akinwunmi, and its AI-powered approach has been recognized by Google as part of its Africa AI Pioneers series and featured at TechCrunch Disrupt Battlefield.

Sikiru’s technical toolkit, as reflected in his professional profile, centers on Python, Azure SQL, and machine learning, skills applied to the demand forecasting, inventory optimization, and patient-facing automation that make an AI-driven pharmacy network function reliably at scale. His work sits within a broader wave of Nigerian health-tech innovation aimed at solving supply chain fragmentation, where independent pharmacies have historically operated through inefficient middleman networks, using AI not as a peripheral feature but as core infrastructure connecting patients, pharmacists, and medication supply into a single coordinated system.

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