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Schedule Interview NowMy name is Muhammad M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Neural Network, PyTorch, Machine Learning Model, TensorFlow, OpenCV, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Science (MS). Some of the notable projects I've worked on include: Build a Football Analysis System Using YOLO11 and OpenCV, Develop a Pool Shot Predictor using OpenCV, Build a Tennis Analysis System with YOLO11, OpenCV and PyTorch, Football Player plus Ball Detection and Tracking with Speed Estimation, Vehicles Detection and Tracking with Counting, etc.. I am based in Gujranwala, Pakistan. I've successfully completed 8 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
4 years
3 Years
2 Years
2 Years
Potentially possible
INeuronltd
In this project, we built a Football Analysis System from scratch. The system focuses on detecting and tracking players, referees, and the football throughout the entire video using the YOLO11 object
In this project, we built a Pool Shot Predictor that uses geometry and vector projection to determine whether a ball will successfully pocket. The system incorporates a range of image processing techn
In this project, we have developed a comprehensive Tennis Analysis System built from scratch. The system detects and tracks both players and the tennis ball throughout the entire match video. It accur
Football Player plus Ball Detection and Tracking with Player Speed Calculation, Score Detection (Tesseract and OpenCV) and Red and Yellow Cards Detection (OpenCV) using YOLOv7 and DeepSORT. The model
In this project we have implemented, the vehicle detection, tracking and counting using YOLOv7 and DeepSORT for the tracking, we have counting the number of Vehicles as well as the number of vehicles
Bachelor of Engineering (BEng) in Electrical engineering
2014-01-01-2018-01-01
Master of Science (MS) in Electrical engineering
2018-01-01-2020-01-01