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Muhammad Abdullah B. AI, Machine Learning and Computer Vision

My name is Muhammad Abdullah B. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, OpenCV, PyTorch, Keras, Machine Learning Model, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Realtime Object Detection using YOLOv7 on Pothole Dataset, Face Beautify. I am based in Rawalpindi, Pakistan. I've successfully completed 2 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

    2 years

  • Machine Learning

    1 Year

  • OpenCV

    1 Year

  • PyTorch

    1 Year

Additional skills

  • Machine Learning
  • OpenCV
  • PyTorch
  • Keras
  • Machine Learning Model
  • Python
  • pandas
  • Computer Vision
  • NumPy
  • C++
  • Matplotlib
  • Python Script
  • CUDA
  • FFmpeg
  • Artificial Intelligence

Direct hire

Potentially possible

Previous Company

QOVES Studio.

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Experience Highlights

Realtime Object Detection using YOLOv7 on Pothole Dataset

Trained YOLOv7 on custom pothole detection dataset and optimized it for realtime performance. It can hence be used for real-world live camera applications.

Face Beautify

A wholistic solution to beautify your face in realtime and apply virtual makeup and recolor your hair using a reference. The software takes in a reference image and applies the style/color to the targ

Education

  • National University of Sciences and Technology (Islamabad)

    Bachelor of Engineering (BEng) in Mechanical engineering

    2019-01-01-2023-01-01

Languages

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