Ayo Okuns
@ayookuns
I am a machine learning engineer specializing in medical AI and computer vision.
What I'm looking for
I am a machine learning engineer with hands-on experience designing, training, and deploying scalable ML and deep learning models.
During internships and projects I worked on medical image segmentation and classification using UNet and CNNs, and contributed to hardware-integrated AI efforts including drone development, sensor-based automation, and PCB design.
I have taught core data science concepts, mentored students on real-world projects using Jupyter Notebook and Google Colab, and developed course content to align with industry needs. My technical toolkit includes Python, PyTorch, TensorFlow, MONAI, OpenCV, XGBoost, LightGBM, Streamlit, Flask, Git, and tools for model deployment and optimization.
I am eager to apply my skills to impactful AI-driven solutions that combine medical AI, computer vision, and system deployment in collaborative, research-minded teams.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
National Center for Artificial Intelligence and Robotics
Mar 2024 - Aug 2024 (5 months)
Developed and evaluated deep learning models (UNet, CNNs) for medical image segmentation and classification. Contributed to hardware-integrated AI projects including drone development, sensor-based automation, and PCB design.
Education
Degrees, certifications, and relevant coursework
Bells University of Technology
Bachelor of Engineering, Computer Engineering
Completed a Bachelor of Engineering in Computer Engineering, graduating in July 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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