African Leadership University

Relevant coursework: Data Structures and Algorithms, Neural Networks, Convolutional Neural Networks, Transfer Learning, Deep Learning, Machine Learning Pipeline, Calculus, Probability, Linear Algebra, Supervised Machine Learning, Mobile Application Development, Python Programming and Databases.

Research Intern

• Working on NLP and computer vision solutions under the AutomAI research program.
• Developing de-identification pipelines for electronic health records — training named entity recognition models to detect and redact personally identifiable information while preserving clinical utility.
• Contributing to computer vision research exploring multimodal approaches at the intersection of healthcare data and visual understanding.

Machine Learning Intern

• Built classification models to predict user behavior on the DoToEarn platform — identifying what drives users to complete tasks and stay active.
• Shipped a recommendation system combining collaborative filtering and content-based methods to personalize tasks for 10,000+ users, lifting platform engagement.
• Built an NLP pipeline over user feedback comments, automatically surfacing liked features and friction points to inform product decisions.

Antimicrobial Drug Resistance Pattern Analysis

• Building a real-time computer vision system to study behavioral patterns of drug-resistant viruses during lab experiments, capturing subtle resistance traits that traditional microscopy observation misses.
• Developing an automated video analysis pipeline that tracks viral attachment behavior, replication rates, and morphological changes across time frames when exposed to antiviral medications — helping researchers identify early resistance development.