My name is Ahmad Fauzan Aqil, and I have a strong background in computer vision, artificial intelligence, and data science. I am currently pursuing a PhD in Multimedia Vision Computing at National Taiwan University of Science and Technology, where my research focuses on machine learning, stable diffusion, and anomaly detection. I also hold a Master’s degree in Artificial Intelligence and Bioinformatics, along with a Bachelor’s degree in Computer Science Education, providing me with both technical expertise and a strong foundation in computational learning.
With hands-on experience as a Research Assistant, I have worked extensively on data preprocessing, annotation, and AI model development, ensuring high-quality datasets for machine learning experiments. My professional experience as a Software Developer at Xtremax has strengthened my ability to implement AI-driven solutions, optimize algorithms, and work with large-scale data processing. I am proficient in Python, TensorFlow, PyTorch, OpenCV, and C#, and have contributed to research papers and AI-based projects, including medical image analysis and forecasting models.
My diverse experience in AI research, software development, and data science makes me a strong candidate for an AI Engineer role. I am passionate about building intelligent systems, optimizing machine learning models, and applying AI to solve real-world problems. With my technical skills and academic background, I am confident in my ability to contribute effectively to AI-driven projects.
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