IBRAHIM AYOBAMI MUSTAPHA

Mechatronics Engineer | AI & Computer Vision Specialist

Ado-Odo Ota, NG.

Work

DeepTech Ready

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Natural Language Processing (NLP) Fellow

Remote, Remote, Nigeria

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DeepTech Ready

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Computer Vision Fellow

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.

CareerEx

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Data Science Intern

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.

About

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

Volunteer

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Window on America

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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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Millennium Campus Network

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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.

Education

Federal University of Technology, Minna (FUT Minna)

Minna, Niger, Nigeria
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B.Eng. Mechatronics Engineering Grade: 4.53/5.0

Master-Key Comprehensive College

Minna, Niger, Nigeria
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West African Senior School Certificate General Studies

Awards

PTDF Scholarship Awardee

Petroleum Technology Development Fund

Awarded scholarship for academic achievement and potential.

Vice Chancellor's Award

Federal University of Technology, Minna

Recognized for Academic Excellence.

Languages

English

Yoruba

Skills

Programming & AI

Python, MATLAB, Machine Learning, Deep Learning, Computer Vision, Object Detection (YOLO), Video Understanding, Natural Language Processing.

Mathematics for AI

Linear Algebra, Probability, Eigenvalues/Eigenvectors, PCA, SVD, Fourier Transform.

Embedded & Robotics

Arduino, Basic Robotics, Sensor Integration, Embedded Systems Fundamentals, Circuit Simulation.

Mechanical Design & CAD

SolidWorks, CAD Modeling, Mechanical Design, Engineering Drawings.

Tools

OpenCV, PyTorch, TensorFlow (basic), Jupyter Notebook, Google Colab, Git.

Projects

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.

Road Anomaly Detection System (Group Project – Digital Image Processing)

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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.

Robotics and Embedded Systems Projects (Group Project)

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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.