At the forefront of shaping intelligent systems, my current role as a Computer Vision Developer at The Disrupt Lab sees me leveraging Machine Learning and Deep Neural Networks to drive innovation. This follows a transformative stint at NCAI where, alongside a dedicated team, we advanced embedded machine learning projects, enhancing computer vision capabilities.I also contributed in open source Ultralytics project where i Introduced the Advanced Dwell Time and Zone Transition Analytics feature for the Ultralytics library. This enhancement empowers users to monitor and analyze the movement patterns of objects within predefined zones in video streams. By measuring how long objects dwell in specific areas and tracking their transition through multiple zones, this feature provides valuable insights for applications ranging from retail analytics and security monitoring to traffic analysis and event management. With a BSCS in Computer Science from the University of Peshawar on the horizon, my academic endeavors align tightly with my professional pursuits. I am committed to expanding my expertise in AI through continuous learning and practical application, with a focus on contributing to groundbreaking AI solutions.