I am Sulaimon Oyeniyi Adebayo, a computer engineer and researcher with a strong interdisciplinary background spanning academia and industry (including aviation, IT, and the oil & gas sectors). I hold a Master of Science degree in Computer Engineering from King Fahd University of Petroleum and Minerals (KFUPM), where my research focused on Dynamic Spectrum Sharing in Heterogeneous Wireless Networks using Deep Reinforcement Learning.
My work bridges theory and practice, with published contributions in AI, machine learning, cloud computing, data analytics, and educational technologies. I have led and collaborated on projects involving intelligent systems, low-code development, and advanced computer networking. As I continue to evolve in both research and applied technology, I remain especially passionate about medical imaging, deep learning, cybersecurity, and intelligent infrastructure.
Whether in academic labs or enterprise environments, I aim to drive impactful solutions at the intersection of innovation, research, and real-world application.
Programming Languages: Python, C++, MATLAB, LaTeX
Developer Tool: Git, GNU/Linux (Ubuntu, RedHat), Docker, PRTG Monitoring Tool
Frameworks & Libraries: PyTorch, TensorFlow, Keras, scikit-learn, pandas, NumPy, OpenCV, Matplotlib, Seaborn
Cloud & Deployment: AWS, Azure
Others: Jupyter Notebook, VS Code, VOSviewerÂ