I’m a computer vision researcher with a passion for understanding the world through mathematics, computer science, logic, and philosophy. My strengths as an activator, ideator, and strategic thinker help me drive innovative projects from concept to reality. With a constant desire to learn and a deep sense of connectedness, I approach challenges with both curiosity and purpose, always seeking to bridge theory and application.My technical expertise spans computer vision, deep learning, and self-supervised learning. I frequently work with Python, PyTorch, OpenCV, and essential data science libraries like NumPy, Pandas, and Matplotlib. Additionally, I leverage Azure Cloud and MLOps tools such as ClearML to ensure smooth and efficient workflows.I started my career as a full-stack web developer before transitioning to machine learning in 2018, where my curiosity and drive led me to pursue a Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University.Currently, I’m leading a cutting-edge research project with Stryker, a leading healthcare technology company, focused on understanding complex activities in real-world environments through advanced video data analysis. My work combines computer vision, deep learning, and self-supervised learning with classical computer vision techniques, state machine algorithms, and video processing techniques. These efforts aim to push the boundaries of what’s possible while tackling the inherent challenges of these systems.Looking ahead, I’m excited to continue exploring the deep learning space, particularly in video analysis, computer vision, and synthetic data generation. My passion for foundational research drives me, but I am equally committed to ensuring that these innovations translate into impactful, usable products in the industry.