About Me

AI Visionary | MSc in Applied Artificial Intelligence (Distinction) | Innovator in Agricultural Tech & AI Solutions

Technical Skills

• Programming Expertise: Python (pandas, Numpy, scikit-learn, Matplotlib, PyTorch), MATLAB
• Tools & Platforms: LaTeX, Node-RED, InfluxDB, Grafana, 3D Slicer

Trailblazing Engineering & Research Experience

• Visiting Researcher, University College London (2024):
  Championed the use of RF reflectometry to predict cassava starch content, a groundbreaking application of machine learning in precision agriculture. By combining theoretical research and real-world data, I contributed to enhancing global food security.
• Graduate Intern, National Biotechnology Development Agency (2019):
  Played a pivotal role in developing biotech-driven solutions for sustainable agriculture, producing data with 80%+ accuracy to guide national food policies.
• Undergraduate Research Intern, NIRPR (2017):
  Orchestrated a large-scale study analyzing over 100 soil and water samples, achieving a 95% accuracy rate in radionuclide detection. This research directly informed public health and environmental policies.
  
  

Defining Projects

• Cassava Crop Yield Modeling (UCL, 2024):
  Designed advanced predictive models integrating RF return loss measurements with PCA techniques, setting a new benchmark in agricultural analytics. This project pushes the boundaries of data-driven sustainability.
• IoT-Enabled Health Monitoring (LSBU, 2024):
  Engineered an IoT edge analytics system capable of real-time calorie and activity tracking. The project earned distinction-level recognition for its innovative approach to personalized health monitoring.
• Smart Waste Management with AI (LSBU, 2023):
  Achieved a 95% classification accuracy using neural networks for garbage classification, demonstrating AI’s transformative potential in addressing environmental challenges.

Education & Achievements

• MSc in Applied Artificial Intelligence (Distinction), London South Bank University
  • Master’s Thesis: Automated 3D MRI Image Segmentation for Pituitary Gland Analysis
• BSc in Physics (Honors), University of Ibadan
  • Undergraduate Thesis: Wireless Power Transfer Design Using RF

Awards & Recognitions:

• Provost Honors (Multiple Quarters)
• Chevron Corporate Scholarship
• Engineer Spotlight, UCSD Jacobs School

Leadership & Community Engagement

• Student Ambassador (LSBU, 2023): Inspired over 150 prospective students during interactive Python-based robotics demonstrations, driving a 20% growth in STEM applications.
• Physics Teacher (Daystar College, 2020): Designed a physics curriculum that boosted test scores by over 15% and received 90% positive feedback from students.

What Drives Me
Born and raised in Nigeria, I am deeply motivated by the limitless potential of technology to transform lives and communities. My journey has been one of perseverance, innovation, and an unyielding commitment to excellence.

Guided by the timeless wisdom of Henry Wadsworth Longfellow, I live by the words:
“The heights by great men reached and kept were not attained by sudden flight, but they, while their companions slept, were toiling upward in the night.”

For me, these words are not just an inspiration—they are a daily practice. Whether advancing agricultural technology, pioneering health analytics, or empowering the next generation of engineers, I am dedicated to shaping a future defined by ingenuity, equity, and impact.