Resume

Education

[ 2020 ] - [ 2024 ]

[ University of Peshawar ] 

[ Bachelor of Science in Computer Science ]

Graduated with a strong academic foundation in Computer Science, specializing in Artificial Intelligence. Acquired in-depth knowledge of programming, algorithms, and machine learning, computer vision, complemented by hands-on projects in AI applications. Achieved a CGPA of 3.54/4.0, showcasing consistent academic excellence and dedication to the field. 

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[ 2018 ] - [ 2019 ]

[ The Frontier College System ] 

[ Diploma in Information Technology ]

Completed a comprehensive diploma in Information Technology, focusing on ICT and fundamental IT skills. Gained proficiency in essential technologies, including networking, database management, and software tools. Secured a solid academic performance with a 75% overall score, reflecting a strong grasp of core IT concepts.

Relevant Work

[ 10/2024 ] - [ present ]

[ Computer Vision Developer ] 

[ The Disrupt Lab ]

Specialized in developing computer vision solutions to enhance workplace safety and efficiency. Implemented projects such as PPE detection for Unilever, ensuring worker safety compliance, and a labor behavior detection system integrated with an interactive UI. Designed innovative solutions, including an Emergency Situation tracking system for evacuation safety and a Housekeeping Module for maintaining clear pathways and emergency exits.  

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[ 11/2022 ] - [ 05/2023 ]

[ Machine Learning Intern ] 

[ NCAI UET-Peshawar ]

Gained hands-on experience in machine learning and computer vision by developing real-world applications. Trained a drowsiness detection model with an 83% accuracy rate and deployed it on Raspberry Pi 4. Conducted dataset collection and preprocessing for image-based gun detection, and implemented image clustering features with 79% accuracy for an Android application. Designed a pose estimation system for detecting and classifying human gestures. 

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[ 01/2019 ] - [ 01/2020 ]

[ Computer Science Teacher ] 

[ IPHS Kalaya ]

Introduced engaging and innovative teaching methods to inspire school students in computer science. Simplified complex concepts using interactive tools and activities to foster enthusiasm for technology. Collaborated with colleagues to integrate computer science into interdisciplinary lessons, creating a dynamic learning environment for young learners. 

Other Experiences

[ 2024 ]

[ Open Source Contribution ]

[ Ultralytics ]

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.