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Vasu G. AI, Deep Learning and Computer Vision Platforms

My name is Vasu G. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: OpenCV, Python, Deep Learning, Keras, Computer Vision, etc.. I hold a degree in Master of Science (MS), Bachelor of Technology (BTech). Some of the notable projects I've worked on include: Neural Style Transfer using TensorFlow, Video Activity Recognition using Python and OpenCV, Convolutional Neural Network Visualizer, Image Classifier - CIFAR10 Dataset, Image Classifier - Street View House Numbers, etc.. I am based in Pathankot, India. I've successfully completed 7 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Deep Learning and Computer Vision Platforms

    6 years

  • OpenCV

    4 Years

  • Python

    4 Years

  • Deep Learning

    5 Years

Additional skills

  • OpenCV
  • Python
  • Deep Learning
  • Keras
  • Computer Vision
  • TensorFlow
  • PyTorch
  • Model Optimization
  • pandas
  • Classification
  • Supervised Learning
  • Model Tuning
  • Neural Network
  • Python Scikit-Learn
  • Machine Learning

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Potentially possible

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Experience Highlights

Neural Style Transfer using TensorFlow

Neural Style Transfer is a technique for generating new artistic images from existing content and style images. This project uses an unsupervised deep learning algorithm for performing neural style tr

Video Activity Recognition using Python and OpenCV

Recognizing 400 different activities in videos like yoga, skating, making pizza, etc using a pretrained 3D convolutional ResNet model . OpenCV library is used for making inference.

Convolutional Neural Network Visualizer

This project is a Convolutional Neural Network Visualizer for visualizing outputs from inner convolutional layers within a CNN model. Python programming language and deep learning libraries tensorf

Image Classifier - CIFAR10 Dataset

The project is an Image Classifier for the CIFAR-10 dataset. Cifar10 dataset contains 50,000 32x32 color training images and 10,000 test images. 10 different classes are included in the dataset - air

Image Classifier - Street View House Numbers

This project is an Image Classifier for the Street View House Numbers (SVHN) Dataset obtained from house numbers in Google Street View images. A convolutional neural network is used for training, tes

Education

  • Stanford University

    Master of Science (MS) in Electrical engineering

    2013-01-01-2015-01-01

  • Indian Institute of Technology (IIT) Bhubaneswar

    Bachelor of Technology (BTech) in Electrical engineering

    2008-01-01-2012-01-01

Languages

  • English (Native or Bilingual)
  • Hindi (Native or Bilingual)