Applied AI & Robotics Software Engineer
Graduate Research Lead and Doctoral Engineering student at Morgan State University. Building breakthrough autonomous systems, winning $100K+ in competitions, and developing AI solutions that transform industries and serve humanity.
Award-winning AI engineer and Doctoral Engineering student at Morgan State University.
With over $102K+ in competition winnings and recognition from top-tier institutions including MIT, SETI Institute, and Capital One, my breakthrough work in autonomous systems and accessible technology has been featured in major media outlets and is making real-world impact through innovative solutions that serve humanity.
My innovative work has been covered by leading publications and recognized by top institutions
First Place Winner at the MIT AI & Education Summit Hack the Climate Challenge for innovative ThermaWise project, demonstrating excellence in climate-focused AI solutions and securing top achievement among competing teams.
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Graduate Research Lead of Team AgroVision, achieving victory with AI-powered modular hydroponic farming system, securing $100,000 in seed funding from Capital One/Delaware State University competition.
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Featured as an emerging engineering leader making significant contributions to AI and robotics innovation while giving back to the global engineering community through NSBE.
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Graduate Research Lead on a 5-year Morgan State University project developing autonomous wheelchairs for airport accessibility, with Phase 3 testing at BWI Airport demonstrating breakthrough mobility solutions.
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Featured coverage of Morgan State's autonomous wheelchair innovations and the impact on accessibility technology for the African American community and beyond.
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Business coverage of the innovative autonomous wheelchair technology being developed and tested for commercial airport implementation.
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International coverage of innovative Claby robot designed to assist people without hands, showcasing African innovation in assistive technology.
Read Punch News →Breakthrough innovations and recognition demonstrating technical excellence and real-world impact
Position: Team Lead & Technical Architect
$100,000 seed funding - Capital One/Delaware State University Innovation Pitch Competition (AgroVision)
Position: Technical Lead & AI Developer
1st Place Winner - MIT AI & Education Summit Hack the Climate Challenge (ThermaWise project)
Position: Research Lead & Presenter
1st Place, Poster Presentation - 2025 National Symposium on Equitable AI, CEAMLS
Position: AI Systems Developer & Presenter
1st Place, Morgan TechFest 2024 Innovation Expo - $2,000 prize for outstanding innovation
Position: Data Scientist & ML Engineer
2nd Place Winner, Emory University Health AI Datathon 2024 (12 teams competed)
Position: Research Participant & Scholar
Certificate of Participation, Health AI Summer School, Symposium & Datathon @ Emory 2024
Position: Research Fellow & AI Specialist
Outstanding Performance - FDL 2023 & U.S. Department of Energy, SETI Institute
Position: Outstanding Student & Academic Leader
Winner, Best Student in Engineering - Ghana Tertiary Awards 2020
Position: Top Emerging Programmer & Innovator
Winner, Rising Star in Embedded Programming - PHYSAG Excellence Awards 2021
Position: Top Innovation Leader & Dean's Award Recipient
Winner, Most Innovative Engineering Physics Student - UCC Dean's Award 2017
Research contributions to the fields of AI, machine learning, and computer vision
Springer Nature, Lecture Notes in Networks and Systems
This paper presents ELT-Easy Label Trainer (ELT), a tool designed to automate and streamline the process of labeling and training object detection models. It integrates advanced models like YOLOv8, YOLOv9, and YOLO-World for robust object detection and segmentation using descriptive text prompts.
AGU Fall Meeting Abstracts 2023, IN33C-0735
An interorganizational approach to increase nuclear safeguards through AI/ML analysis of open-source satellite imagery for detecting indicators of nuclear activity.
AGU Fall Meeting Abstracts 2023, GC21F-0976
Enhancing nuclear safeguards and capabilities through AI/ML by leveraging synthetic image data for real-world applications in security and monitoring systems.
SETI Institute & U.S. Department of Energy
Research contributions to the Frontier Development Lab (FDL) 2023 program, focusing on applied artificial intelligence and machine learning for space science applications. Recognized for outstanding performance and achievements.
Open-Source Python Library for Edge Computing
A Python open-source library that helps run large models on Edge Computers, enabling efficient execution of computer vision tasks on resource-constrained devices. Pioneered efficient AI deployment for edge computing applications.
Ready to discuss innovative AI solutions, research collaborations, or career opportunities?
Whether you're interested in research collaborations, innovative AI projects, or exploring career opportunities, I'd love to hear from you.