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Muhammad T. AI, Python and Computer Vision

My name is Muhammad T. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Computer Vision, Python Scikit-Learn, Deep Learning, Python, PyTorch, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I've worked on include: Road Segmentation via U-Net model, Plants Disease Detection, Weapon Detection with YOLOv8, Pose Estimation - Computer Vision, Cryptocurrency blog website, etc.. I am based in Lahore, Pakistan. I've successfully completed 7 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, Python and Computer Vision

    3 years

  • Computer Vision

    2 Years

  • Python Scikit-Learn

    1 Year

  • Deep Learning

    1 Year

Direct hire

Potentially possible

Previous Company

Hazen.ai

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Experience Highlights

Road Segmentation via U-Net model

The U-Net model is a deep learning architecture designed for image segmentation, particularly in medical imaging. Introduced in 2015, it consists of an encoder-decoder structure with skip connections

Plants Disease Detection

This project focuses on developing a plant disease recognition model based on leaf image classification using deep convolutional neural networks (CNNs). The goal is to build a model capable of identif

Weapon Detection with YOLOv8

This project utilizes YOLOv8, a state-of-the-art object detection model, to accurately identify and locate various weapons in images and GIFs. By training on a custom dataset specifically designed for

Pose Estimation - Computer Vision

Pose estimation, a revolutionary application of computer vision, is transforming the way machines understand human movement. By leveraging advanced AI models like MediaPipe, this technology can identi

Cryptocurrency blog website

Created a website with the help of MERN stack. The key features of this website are as follow. => Create a Blog => You can submit it by attaching the picture as well. => Validations are done at front

Education

  • Information Technology University Lahore

    Bachelor's degree in Computer science

    2020-01-01-2024-01-01

Languages

  • English (Fluent)
  • Panjabi, Punjabi (Fluent)
  • Urdu (Fluent)