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Abdullah A. AI, Machine Learning and Data Platforms

My name is Abdullah A. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, etc.. I hold a degree in Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Convert SMPL-X Motion Data to Unity Humanoid Rig. I am based in Lahore, Pakistan. I've successfully completed 1 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • AI, Machine Learning and Data Platforms

    4 years

  • Machine Learning

    1 Year

  • Deep Learning

    2 Years

  • Artificial Intelligence

    1 Year

Additional skills

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Natural Language Processing
  • Computer Vision
  • Python
  • TensorFlow
  • MLOps
  • Data Preprocessing
  • Feature Engineering
  • Chatbot Development
  • Data Visualization
  • Predictive Analytics

Direct hire

Potentially possible

Previous Company

Systems Limited

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Experience Highlights

Convert SMPL-X Motion Data to Unity Humanoid Rig

I developed a system in Unity to convert SMPL model animation data (276 pose parameters per frame) into Unity’s Humanoid rig format. This involved mapping SMPL joint rotations to Unity’s humanoid bones and ensuring smooth real-time animation playback. The solution enabled the client to run SMPL animations directly on their Unity characters with high accuracy. The project was delivered on time, received a 5-star rating, and praised for its technical quality and seamless integration.

Education

  • National University of Sciences and Technology (NUST)

    Master of Computer Science (MSCS) in Master of Science

    2015-01-01-2018-01-01

Languages

  • English
  • Urdu