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Schedule Interview NowMy name is Muhammad J. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Deep Learning, Python, PyTorch, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: Rubrik.ai, CCTV Shoplifting Detection Module (Person tracking + Re-ID), Jetson-Optimized Drown Detection System (Cuda+ Tensorrt), Edge AI Bird Detection on Raspberry Pi (YOLOv11 + Edge TPU), Automated Football Goal Highlights Generator (Video + Computer Vision), etc.. I am based in Islamabad, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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Rubrik.ai was created to help Students Ace their competitive exams specially designed for Examinations held by Government of Pakistan, I delivered a complete Web application that help Students to evau
Developed a module shoplifting detection system using CCTV feeds that detects people, tracks their movement, and identifies individuals using Re-ID techniques. Built a real-time pipeline that logs tim
Developed a real-time drown detection module using CCTV that classifies adults vs. children and detects potential drowning events. Converted and optimized the model with TensorRT for high-speed edge i
Deployed an optimized YOLOv11 model on a Raspberry Pi with a USB Edge TPU accelerator for real-time bird detection. I compiled and tuned the model for maximum FPS on edge hardware, then configured the
Built a system to generate goal highlights from full-length football match videos using an AI model with post-processing and OpenCV. I tracked the ball, detected its position relative to goal lines, a
Bachelor of Applied Science (BASc) in Computer science
2021-01-01-2025-01-01