Mohammed Alqaderi

Founder and Chief Technology Officer at SelkTeck, leading the technical direction of the company and working closely with the development team on the design and development of AI-based solutions.

Designed and delivered a desktop application to Professional (service center) to track and monitor employee efficiency. Implemented core functionality using Python and SQL for data storage, querying and reporting. Built modules for performance tracking, real-time monitoring/dashboard, user management and data export. Managed the full project lifecycle: requirements gathering, design, implementation, testing, deployment, client training and handover; provided post-delivery support and minor updates.

Developed a Bayesian probabilistic model for diagnosing vehicle/industrial system faults. Implemented a web-based diagnostic tool to compute and visualize fault posteriors using Bayesian networks and Bernoulli evidence models. Accepted by Microsoft Research and presented at the 2nd National Student Research Conference.

•Research-focused Master's program in Data Science. •Specializing in Machine Learning, Artificial Intelligence and Intelligent Systems. •Research project: Machine learning for anomaly detection and interaction prediction using smart-home movement data. •Expected graduation: 2028.

Programme delivered at Middle East College, Muscat, Oman GPA: 3.75/4.00 (German equivalent: 1.3)