AI Engineer and Researcher translating advanced AI into real-world healthcare and education
systems, with a focus on high-impact, interpretable machine learning. Featured in national
publications including Vanguard, ThisDay, and The Nation for contributions to AI in healthcare
and AI education.
Specialized in Vision Transformers, deep learning, and explainable AI, with experience
building high-accuracy diagnostic systems and intelligent applications. Skilled in developing end-to-end
AI pipelines from research to deployment.
Technical Skills
Machine Learning & AI
- Python, PyTorch, TensorFlow, Scikit-learn
- Deep Learning (CNNs, Transformers, Transfer Learning)
- Model Training, Fine-tuning, Evaluation
Medical AI & Computer Vision
- MRI Image Analysis
- Disease Classification & Prediction
- Data Augmentation & Preprocessing
Explainable AI (XAI)
- Grad-CAM, Attention Maps
- Model Interpretability & Trust
Data & Engineering
- SQL, Data Pipelines, Feature Engineering
- REST APIs, Backend Systems
Experience
Applied Systems & Intelligent Automation | Deloitte, London,
UK
Sept 2025 – Present
- Supporting intelligent systems and data-driven operations within enterprise environments.
- Contributing to AI-enabled workflows and smart facility solutions for global clients.
Machine Learning Research Intern (Sports Analytics AI) | Middlesbrough
Football Club, UK
Jan 2024 – May 2024
- Conducted advanced research and developed gradient-boosted ML models to predict elite player performance
from physical profiling data.
- Identified critical performance indicators through statistical profiling, contributing to data-driven
talent identification strategies.
Founder & Technical Lead (AI Systems & Intelligent Automation) | The Legitimate Store
(E-commerce), Remote
Feb 2018 – Aug 2025
- Led development of AI-driven systems for demand forecasting, customer behaviour modelling, and intelligent automation.
- Designed and deployed predictive models to improve sales and user engagement.
- Developed scalable web applications and integrated intelligent recommendation systems.
Systems & Analytics (Software Engineer) | 3chub Brand Management Ltd,
Lagos, Nigeria
Jan 2017 – Dec 2022
- Developed scalable web applications and backend systems.
- Built APIs and dashboards for business analytics and reporting.
Key Projects
AlzDetect – High-Accuracy AI Diagnostic System
Sept 2024 – Dec 2024
Vision Transformers (ViT), PyTorch, XAI (Grad-CAM), Clinical Imaging Data
- Developed a Vision Transformer-based system achieving ~98% accuracy with high F1-score and AUC across multiple dementia stages for early-stage
Alzheimer’s detection from MRI scans.
- Featured in national publications including Vanguard, ThisDay, and The Nation for contributions to AI in healthcare and AI education.
- Implemented Explainable AI (XAI) modules to provide technical interpretability for
complex decision-making.
PhotoCap – Generative AI Vision Interpretation
May 2024 – Aug 2024
GPT-4 Vision, Next.js, AI Agentic Workflows
- Developed a vision-to-language AI system using GPT-4 Vision for automated, context-aware image interpretation.
PursePro – High-Performance Financial Analytics PWA
Nov 2025 – Dec 2025
React, Zustand, High-Fidelity Data Visualization
- Architected a premium financial intelligence dashboard with real-time data streaming and advanced
charting components.
- Optimized for low-latency interactions and offline-first capabilities using modern PWA standards.
Education
M.S. in Artificial Intelligence with Advanced Practice (Distinction)
Jan 2023 – Jan 2025
Teesside University, Middlesbrough, UK
B.S. in Computer Science
Jan 2010 – Dec 2014
University of Cross River State, Nigeria