I am an artificial intelligence engineer passionate about machine learning and deep learning, with strong academic and practical experience in developing advanced intelligent solutions. I graduated with distinction and first-class honors from Teesside University with a Bachelor’s degree in artificial intelligence. I am also the author of a research paper titled “AI-Powered Brain Tumor Detection and Classification from MRI Scans,” which has been accepted for publication in the GRENZE International Journal of Engineering and Technology (GIJET), indexed in Scopus.
Currently, I apply advanced machine learning techniques and automation strategies to improve data processing efficiency and system scalability. I have experience collaborating with cross-functional teams to optimize model performance and ensure seamless integration with application components. I also conduct training sessions covering Python programming, AI ethics, and real-world deployment of AI models for university students.
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