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sumedhreddy90/README.md

Hi there. I am Sumedh RK πŸ‘‹. A day on Mars? Visitor

  • πŸ”­ Experienced Robotics and Machine Learning Engineer with Master's degree in Robotics from Unviersity of Maryland.
  • πŸ‘» Ex-SWE at Open Robotics, Microsoft, Infosys, Suneratech
  • 🌱 Currently learning : NLP, Generative AI, Edge AI
  • πŸ’¬ Ask me about: C++, Python, CUDA, Tensor RT, Nvidia Tao, ROS 2, Micro-ROS, Machine Learning, Deep Learning, Computer vision, Advanced Robotics.
  • πŸ‘― I’m looking to collaborate on Deep Learning based solutions and Robotics Applications.
  • πŸ€” I’m looking for help with Entreprenurship and Product development.
  • πŸ˜„ Pronouns: He/Him.
  • πŸ“« How to reach me: Email Me!! LinkedIn Stack Overflow

Tech Stack

C++ Python ROS NodeJS OpenCV JavaScript C# Docker CMake Arduino Jira Postman MySQL Jenkins Azure AWS Git Visual Studio Code

Ethereum Buy me a coffee!!! Transfer on etherum Address: 0xA6a4D24D1d126FbDCf48a90C90989282201cBfED

My GitHub Stats

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  1. Dense-Prediction-Transformer-Based-Visual-Odometry Dense-Prediction-Transformer-Based-Visual-Odometry Public

    we aim to develop a transformer-based model architecture for visual odometry

    Jupyter Notebook 1 3

  2. Adaptive-Lane-Detection-and-Curve-Predictor Adaptive-Lane-Detection-and-Curve-Predictor Public

    lane detection and curve prediction using histogram equalization techniques, both simple and adaptive.

    Python

  3. Stereo-Vision-System-Depth-Estimation Stereo-Vision-System-Depth-Estimation Public

    Estimating depth information from a stereo images using classical computer vision

    Python

  4. UNet-Semantic-Segmentation UNet-Semantic-Segmentation Public

    A U-Net is an end-to-end segmentation network that should work reasonably well in this low data setting. It will take an image, progressively convolve it to a collection of many small feature maps,…

    Jupyter Notebook

  5. Email-GPT Email-GPT Public

    This repository provides an implementation and exploration of the causal self-attention mechanism, a foundational component in Transformer architectures, especially tailored for generative tasks.

    Jupyter Notebook 1

  6. Variational-Auto-Encoders-MINST Variational-Auto-Encoders-MINST Public

    variational autoencoder (VAE) is a generative AI algorithm that uses deep learning to generate new content, detect anomalies and remove noise.

    Jupyter Notebook