A Gas and Petroleum Engineering graduate with specialized expertise in AI model evaluation and security testing. Combines technical engineering knowledge with advanced skills in LLM training, vulnerability assessment, and complex reasoning evaluation. Experienced in developing sustainable solutions for the energy sector while contributing to the advancement of AI safety and capability through specialized model testing techniques. Skilled in using technical approaches to analyze both petroleum systems and AI model performance. Proactive problem-solver with demonstrated ability to identify critical vulnerabilities and improve model responses across multiple dimensions.
Experience in training and evaluating AI models, particularly in coding and software development
Organized and facilitated a group of 57 students in actively engaging with the children at the charity home., Achieved meaningful connections, provided mentorship, and positively impacted the lives of the young residents.
Collaborated closely with professors, laboratory technicians, and academic advisors to fulfill assigned tasks, including organizing and coordinating class activities and laboratory practicals., Acted as a liaison between the student body and the faculty, effectively communicating feedback and concerns to improve the overall learning experience., Demonstrated strong leadership skills by fostering a positive and inclusive classroom environment, promoting effective teamwork among classmates.
Successfully led a team of 30 students in an impactful initiative to collect and responsibly dispose of 500 kgs plastic waste at Kenyatta market, contributing to a cleaner and healthier environment.
Estimating In-Situ Well bore Properties of a Vertical Well in an Infinite-Acting Reservoir using Pressure Buildup Analysis, Excel, Geogebra, ArcGis, 11/2022-03/2023
The project aimed to investigate reservoir properties of Kubwa-1 well through pressure buildup analysis. It involved analyzing pressure buildup data to estimate the initial reservoir pressure, average permeability, and skin factor. The project was conducted in collaboration with the National Oil Corporation of Kenya (NOC-K) and provided valuable insights for reservoir management, production optimization, and decision-making. It also contributed to the body of knowledge in reservoir characterization and management for the broader Lamu basin.
References available upon request.