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Muhammad M. AI, Machine Learning and Computer Vision Platforms

My 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

  • AI, Machine Learning and Computer Vision Platforms

    4 years

  • Deep Neural Network

    3 Years

  • PyTorch

    2 Years

  • Machine Learning Model

    2 Years

Additional skills

  • Deep Neural Network
  • PyTorch
  • Machine Learning Model
  • TensorFlow
  • OpenCV
  • Python
  • Computer Vision
  • Machine Learning
  • Keras
  • Deep Learning
  • Neural Network
  • Large Language Model
  • Multimodal Large Language Model
  • Natural Language Processing
  • Chatbot Development
  • LLM

Direct hire

Potentially possible

Previous Company

INeuronltd

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Experience Highlights

Build a Football Analysis System Using YOLO11 and OpenCV

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

Develop a Pool Shot Predictor using OpenCV

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

Build a Tennis Analysis System with YOLO11, OpenCV and PyTorch

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 Speed Estimation

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

Vehicles Detection and Tracking with Counting

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

Education

  • Lancaster University UK

    Bachelor of Engineering (BEng) in Electrical engineering

    2014-01-01-2018-01-01

  • COMSATS University Islamabad

    Master of Science (MS) in Electrical engineering

    2018-01-01-2020-01-01

Languages

  • English (Native or Bilingual)
  • Panjabi, Punjabi (Fluent)
  • Urdu (Native or Bilingual)