Current role
I lead applied AI engineering: architecture, model workflows, product execution, and the engineering loop from prototype to shipped system.
I work on applied AI systems, product engineering, machine learning, infrastructure, and interfaces.
Leading AI engineering on instahire.com and manifestvision.com.
Building Yaha, Cabee, and Lumi across commerce, logistics, and AI tools.
Current applied AI engineering work.
I lead applied AI engineering: architecture, model workflows, product execution, and the engineering loop from prototype to shipped system.
LLM workflows, retrieval systems, ranking, forecasting, backend services, data pipelines, interfaces, and deployment.
Current projects across commerce, logistics, and AI tools.
Social commerce for opening a shop, taking orders, and managing transaction flow.
On-demand logistics, dispatch logic, coordination, and a simple mobile experience.
AI tools for personal memory, enterprise data, coding, and brand media workflows.
Schools, degrees, and the parts that shaped the work.
M.S. Information Systems and Technology, 2024-2026.
Graduate Diploma, Artificial Intelligence with Machine Learning, 2023-2024.
B.Sc. Software Engineering, 2018-2022.
Papers and technical work in applied ML and autonomous mobility.
Demand modeling, interpretability, and fleet operations.
Shared autonomous mobility systems and deployment considerations.
Simulation, prediction, and rebalancing policies for high-demand networks.
Multi-agent coordination for routing and matching.
Older projects and experiments.
AI clinical notes from patient conversations.
Hosted travel and expedition booking across Kenya and Tanzania.
Travel marketplace with recommendation and search-ranking systems.
Campus social network with chat, marketplace, and ride sharing.
Pinterest-style boards for memes.
Private notes, todos, and writing to yourself. Built in 2020 before AI notes apps became common.
Early virtual doctor project using symptom matching and Bayesian scoring.
Photos.
Short version for people who want the signal quickly.
Applied AI engineering, product systems, backend infrastructure, ML workflows, retrieval, ranking, forecasting, and interface execution.
Leading applied AI engineering and building projects in commerce, logistics, and AI tools.
M.S. Information Systems and Technology, York University. AI/ML graduate diploma, Humber College. B.Sc. Software Engineering, Near East University.