AI Researcher | Software Engineer | Tech Entrepreneur
I am a MOFCOM Scholar and Master of Engineering candidate at Nankai University (Tianjin, China). My professional journey bridges the gap between theoretical deep learning research and scalable software engineering. As the Founder & CEO of Prospera Group, I am dedicated to driving digital transformation and mentoring the next generation of technical talent as a Research and Teaching Assistant.
| Degree/Certificate | Institution | Status |
|---|---|---|
| MEng Software Engineering | Nankai University, China | Ongoing (Expected Date of Completion - June 2026) ⚡ Thesis: CNN-Based Plant Leaf Disease Detection and Classification Using YOLOv8 |
| BSc Computer Science | University of Makeni | Graduated (Dec 2023) 🎓 Dissertation: Design and Implementation of an Automated Waste Disposal Management System |
| Certificate in Web Development | UniMak Workflow Innovation Hub | Completed (Oct 2019) |
| Role | Organization | Focus |
|---|---|---|
| CEO & Founder | Prospera Group | Leading strategic vision and technical direction for scalable software solutions and technical capacity building. |
| Research and Teaching Assistant | University of Makeni | Department of Computer Science. Delivering courses, student mentorship, and supporting faculty research. |
My focus lies at the intersection of Deep Learning and Intelligent Systems:
- 🧠 Applied Deep Learning Architectures
- 📊 Multimodal Data Fusion
- 💻 Intelligent Software Systems
- Technology Diplomacy: Actively contributing to international dialogues on digital governance and open-source ecosystems to foster cross-border innovation.
- SDG Alignment: Leveraging AI and Intelligent Systems to contribute to Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure) through scalable software.
- Open Source Advocacy: Recognized as an Evangelism Star for promoting collaborative technology frameworks that empower developers in emerging economies.
- Youth Leadership: Mentoring the next generation of tech leaders in West Africa, focusing on high-level technical literacy and academic excellence.
-
🏆 Evangelism Star Award (2024)
- OpenAtom Foundation (openKylin)
- Recognized as an Outstanding Contributor at the OpenAtom Developer Conference and as an invited Guest Speaker at the Open Source Technology Academic Conference in Wuhan, China.
-
🥇 Academic Excellence Award (2022/2023)
- University of Makeni (UniMak)
- Best Performing Student in Computer Science with a CGPA of 4.71.
-
🌟 Volunteer Service Certificate (2025)
- Open Source Summit, Beijing
- Recognized for technical support and contributions to the global open-source community.
-
🎨 Head of Multimedia and Design Team (2022/2023)
-
Computer Science Department - UniMak
-
Leadership role managing design and multimedia initiatives.
-
📢 Deputy Public Relations Officer (2022/2023)
- Old Prince Waleans Association (OPWA) - UniMak Chapter
- Leadership role facilitating communication and public relations.
-
Kamara, G. D., Marrah, S. A., ..., Kargbo, S. I., et al. (2026). "AI-Powered Grid Resilience: Hybrid CNN-Transformer for Predictive Fault Detection and Real-Time Optimization." Published in Journal of Scientific Reports. View Paper
-
Ibrahim, M. S., Odunsi, M. O., Barrie, A. W., & Kargbo, S. I. (2025). "A Deep Learning Based Intrusion Detection Model in 5G Environment Using LSTM Network and Hyper Parameter Tuning." Published in International Journal of Development Research. View Paper
| Project | Description | Tech Stack |
|---|---|---|
| Financial Sentiment Analysis | Fine-tuned the Gemma-7B-IT LLM to accurately analyze and classify sentiment in financial texts. | LLM Python Transformers |
| Plant Disease Classification | Built a Deep Learning application using CNNs to detect and classify plant leaf diseases with high accuracy. | Deep Learning CNN Computer Vision |
| Exercise Counting System | Developed a real-time AI web application using MediaPipe for pose estimation and automated repetition counting. | Computer Vision MediaPipe Web App |
- Languages: Python, SQL, C++, JavaScript
- AI & Deep Learning: PyTorch, TensorFlow, CNNs, LSTMs, Transformers, Bayesian Optimization
- Data Science: NumPy, Pandas, Scikit-learn, Feature Engineering
- Tools: Git, PostgreSQL, VS Code