Taught ML curriculum covering transformers, generative AI, and supervised learning to 18 high school students with limited technical backgrounds. Guided two student teams through ML project development from problem definition to deployment, culminating in prototype presentations to Oxford AI faculty.

Founder-in-Residence at Founders at the University of Cambridge

May 31, 2025 - May 31, 2025

Explored climate tech and circular economy startup opportunities through customer discovery and market validation within SYNC 1.0 BETA cohort of 30 aspiring founders. Collaborated with potential co-founders to evaluate technical and commercial feasibility of sustainability-focused AI applications.

Machine Learning Engineer at Dangote Industries Limited

September 30, 2023 - September 30, 2023

Built predictive maintenance models achieving 92% fault detection accuracy, reducing unplanned downtime by 18% across refinery and fertilizer plant operations. Designed feature engineering pipeline processing sensor data to extract time-series patterns, statistical aggregations, and anomaly indicators for predictive model training. Deployed production ML models using Docker containerization and Weights & Biases for experiment tracking, reducing deployment time by 40% and ensuring reproducibility across model iterations. Integrated ML models with SAP enterprise system to trigger maintenance workflows and alert plant operators. Implemented model monitoring system tracking prediction accuracy, data drift, and feature distributions to detect performance degradation and trigger retraining workflows.