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Talha U. AI, Machine Learning and Deep Learning Platforms

My name is Talha U. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Convolutional Neural Network, Neural Network, Deep Learning, Deep Learning Modeling, Machine Learning Model, etc.. I hold a degree in Master of Computer Science (MSCS), . Some of the notable projects I've worked on include: Vehicle Counting, Sugarcane Plants Counting, Smart Invigilation system. I am based in Lahore, Pakistan. I've successfully completed 3 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 Deep Learning Platforms

    7 years

  • Convolutional Neural Network

    4 Years

  • Neural Network

    2 Years

  • Deep Learning

    4 Years

Additional skills

  • Convolutional Neural Network
  • Neural Network
  • Deep Learning
  • Deep Learning Modeling
  • Machine Learning Model
  • Python
  • TensorFlow
  • PyTorch
  • Machine Learning
  • Data Science
  • Keras
  • Recurrent Neural Network
  • Deep Learning Framework
  • Machine Learning Framework
  • Artificial Intelligence

Direct hire

Potentially possible

Previous Company

KICS

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Experience Highlights

Vehicle Counting

Vehicle Counting using object detection

Sugarcane Plants Counting

The sugarcane industries do an agreement with farmers before the tillering phase of plants. Industries are keen on knowing the sugarcane field's pre-harvest estimation for planning their production an

Smart Invigilation system

The smart classroom is an enhanced classroom of technology that improves teaching and learning opportunities by group action learning technologies, like computers, special software. The Proposed syste

Education

  • University of Central Punjab Lahore

    Master of Computer Science (MSCS) in Machine, Deep learning

    2019-01-01-2021-01-01

  • COMSATS Institute of Information Technology Lahore

    in

    2014-01-01-2018-01-01

Languages

  • English (Fluent)✓