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Shahrukh B. AI, Deep Learning and Computer Vision Platforms

My name is Shahrukh B. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Neural Network, Computer Vision, Artificial Neural Network, OpenCV, etc.. I hold a degree in Bachelor of Science (BS), Bachelor's degree. Some of the notable projects I've worked on include: Multi-Object Tracking, Real-Time and Accurate Full-Body Multi-Person Pose Estimation System, Voice Detection through Radar Projrct, Predicting the cardiac artery structure project, Flower classification using Machine Learning, etc.. I am based in Islamabad, Pakistan. I've successfully completed 7 projects while developing at Softaims.

I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.

I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.

I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.

Main technologies

  • AI, Deep Learning and Computer Vision Platforms

    4 years

  • Deep Learning

    1 Year

  • Neural Network

    1 Year

  • Computer Vision

    1 Year

Additional skills

  • Deep Learning
  • Neural Network
  • Computer Vision
  • Artificial Neural Network
  • OpenCV
  • Python
  • Machine Learning
  • Convolutional Neural Network
  • PyTorch
  • Image Processing
  • Image Recognition
  • TensorFlow
  • Artificial Intelligence
  • ChatGPT
  • Chatbot

Direct hire

Potentially possible

Previous Company

XYLEXA Inc.

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Experience Highlights

Multi-Object Tracking

• Conducted a performance comparison between Deepsort and Fairmot on the client's environments, demonstrating that Fairmot outperforms Deepsort in both accuracy and speed. • Developed a custom re-iden

Real-Time and Accurate Full-Body Multi-Person Pose Estimation System

• Prepared a custom dataset in MPII format using data analysis techniques. • Modified the Python code to train the model on 23 points, including 6 custom pose points, instead of the default 17 points.

Voice Detection through Radar Projrct

The radar system emits radio waves or microwaves, which propagate through the air until they encounter an object, including a person's mouth and throat when they speak

Predicting the cardiac artery structure project

Predicting the cardiac artery structure is an essential task in medical imaging and cardiovascular research. The cardiac arteries, also known as coronary arteries, supply oxygen-rich blood to the hear

Flower classification using Machine Learning

1. User takes image of the Flower. 2. Images are securely sent to the AI model through FloretScan. 3. App Recognizes and classifies the flower on the base of morphology. 4. The category of the flower

Education

  • COMSATS Institute of Information Technology

    Bachelor of Science (BS) in Bioinformatics

    2006-01-01-2010-01-01

  • COMSATS Institute of Information Technology

    Bachelor's degree in

    2008-01-01-2012-01-01

Languages

  • English (Fluent)✓
  • Urdu (Native or Bilingual)