Vision Marshal – AI Traffic Violation Detection System
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Summary
Developed a real-time computer vision system for detecting and flagging road infractions, designed for edge AI deployment with automated logging and notification.
Remote, Remote, Nigeria
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Summary
Executed computer vision projects focused on object detection and video understanding utilizing YOLO-based architectures, developing traffic-related vision systems and exploring advanced perception tasks.
Highlights
Built computer vision projects focused on object detection and action detection based architectures using CNN based detector ( YOLO, Slowfast)
Developed traffic-related vision systems including detection and video analysis pipelines.
Explored action recognition and temporal modeling for real-world perception tasks.
Worked with generative and segmentation models including GANs and SAM for advanced vision tasks.
Remote, Remote, Nigeria
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Summary
Developed a supervised machine learning model for customer churn prediction, executing comprehensive data preprocessing, feature engineering, and model evaluation to drive business insights.
Highlights
Developed and deployed a supervised machine learning model, accurately predicting customer churn to inform strategic retention initiatives.
Executed extensive data preprocessing and feature engineering, optimizing datasets for enhanced model performance and predictive accuracy.
Conducted rigorous model evaluation, validating performance metrics and ensuring the reliability of predictive analytics for business decision-making.
Highly motivated Mechatronics Engineering student with a strong passion for Artificial Intelligence, Computer Vision, and intelligent perception systems, seeking to leverage expertise in building real-time AI systems for traffic monitoring, robotics, and edge applications. Proven ability to develop and deploy advanced machine learning models for object detection, video understanding, and natural language processing, driving innovation in perception and automation technologies. Eager to contribute to cutting-edge projects that demand deep technical understanding and practical application of AI principles.
Volunteer
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Summary
Coordinated weekly learning sessions, engaging over 50 participants and fostering educational discussions.
Highlights
Coordinated weekly learning sessions for over 50 participants, fostering educational engagement and discussions on critical topics.
Fellow
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Summary
Participated in community outreach programs, educating students on Sustainable Development Goals (SDGs).
Highlights
Engaged in community outreach programs, educating students on Sustainable Development Goals (SDGs) to promote global awareness and action.
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B.Eng.
Mechatronics Engineering
Grade: 4.53/5.0
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West African Senior School Certificate
General Studies
Awarded By
Petroleum Technology Development Fund
Awarded scholarship for academic achievement and potential.
Awarded By
Federal University of Technology, Minna
Recognized for Academic Excellence.
Python, MATLAB, Machine Learning, Deep Learning, Computer Vision, Object Detection (YOLO), Video Understanding, Natural Language Processing.
Linear Algebra, Probability, Eigenvalues/Eigenvectors, PCA, SVD, Fourier Transform.
Arduino, Basic Robotics, Sensor Integration, Embedded Systems Fundamentals, Circuit Simulation.
SolidWorks, CAD Modeling, Mechanical Design, Engineering Drawings.
OpenCV, PyTorch, TensorFlow (basic), Jupyter Notebook, Google Colab, Git.
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Summary
Developed a real-time computer vision system for detecting and flagging road infractions, designed for edge AI deployment with automated logging and notification.
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Summary
Led a team in developing a road anomaly detection system, focusing on dataset preparation, model training, and inference pipeline design using YOLOv8.
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Summary
Developed a line-following robot using sensor-based control systems and built a smart parking system capable of detecting empty slots and controlling automated gate access.