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Hi there, I'm Mayur : https://mayurhulke.github.io


I'm a 🤖 Robotics & Computer Vision Enginner from UK. I finished my masters in Advanced Robotics & AI from Bristol University in England. During studies I worked as robotics reseracher at one of the UK's Biggest robotics lab: Bristol Robotics Lab where I specialized in Intelligent Bionic Legs & Machine Learning.

  • 🖥️ I’m currently working on deep learning pipelines to deploy production ready computer vision models.
  • 🖥️ I’m also working on Optimizing the fusion of multiple deep learning algorithms (Object detection, classification & object Tracking) for NVIDA AGX XAVIER & Jetson Orin Nano
  • 🏆 2024 Goals:
    • Experiment with Multi-Agent Deep Reinforcement Learning agentic workflows.
    • Experiment / Rewrite existing personal projects with Self-Supervised Learning Approach.
    • Create Educational "WhiteBox" computer vision & Deep Learning Projects for community.
    • Optimising deep learning algorithms for vision module for mobile robots like myAGV 2023 and other robotics hardware kits.

Connect with me:

codeSTACKr | YouTube codeSTACKr | LinkedIn codeSTACKr | Instagram


Programming Languages & OS:

IDE's

Deep Learning Frameworks and Tools:

Hardware for AI at the Edge:



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Mayur's Projects

diffusion-model-from-scratch icon diffusion-model-from-scratch

In this project we are building a Denoising Diffusion Probabilistic Model from scratch to generate fake images of cars.

face-recognition-eigenfaces-vs-cnn icon face-recognition-eigenfaces-vs-cnn

A comparative study of face recognition technologies: Implementing and analyzing traditional Eigenfaces approach versus modern Convolutional Neural Networks (CNN) using DLIB. This project aims to provide a comprehensive understanding of both methodologies, highlighting their differences and applications in face recognition tasks.

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