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Ali A. AI, Cloud and Data Platforms

My name is Ali A. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, TensorFlow, Computer Vision, Python, Machine Learning, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: GAN's Outline Extractor Desktop App, Criminal Face Image Enhancement, CelebAMask-HQ Dataset Visualization, Face Mask Detection, Traffic Sign Detection and Recognition, etc.. I am based in Lahore Cantt, Pakistan. I've successfully completed 7 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Cloud and Data Platforms

    7 years

  • Deep Learning

    3 Years

  • TensorFlow

    2 Years

  • Computer Vision

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

GAN's Outline Extractor Desktop App

These applications are help full for non-technical users by just clicking the buttons end-user easily train the model and generate the data. I keep "Human-Computer Interaction" (HCI) concepts in my mind when making applications.

Criminal Face Image Enhancement

CCTV cameras record everything and can be used to gather evidence etc of any criminal activity. But most of the time lack of clarity in recorded footage and the face of culprits is not visible in the footage works in the favor of culprits and justice can’t be done. But now the culprits will not be able to escape because this software is anti-criminal. This software helps you to catch the culprits by enhancing the invisible face of the culprits.

CelebAMask-HQ Dataset Visualization

CelebAMask-HQ dataset visualization. The dataset contains 30,000 HD face images and each image has a segmentation mask of 19 different classes including facial attributes like eyes, nose, eyebrows, hair, etc. You can use this dataset for different research purposes like generating face using face masks using GANs, fave parsing, face editing generation, etc.

Face Mask Detection

COVID-19 is widespread nowadays, and several precautionary measures are being taken to prevent it. Using a face mask is an important measure. Your mask helps protect not only you but those around you. And these masks are a simple barrier to help prevent your respiratory droplets from reaching others. I have designed this model, which detects efficiently if any person is not wearing the mask. This model also tells if someone is not wearing masks properly.

Traffic Sign Detection and Recognition

I have made cnn model for classification and achieved 98% testing accuracy and I have also used opencv for detect the traffic sign in the frame and create red bounding boxes around the traffic sign.

Education

  • The University of Lahore

    Bachelor of Computer Science (BCompSc) in Computer science

    2016-01-01-2020-01-01

Languages

  • English
  • Russian
  • Urdu

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