Skip to content
View kputtur's full-sized avatar
🎯
Focusing
🎯
Focusing
13 followers · 21 following

Block or report kputtur

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kputtur/README.md

Hi there 👋

version :04.Apr.2022

About Me

  • 🔭 I’m currently working with Nvidia as Embedded Engineering Leader, managing large teams developing cutting edge technologies in Autonomous Driving.

  • 🌱 I’m currently learning Ada, Spark for Mission Critical Application writing.

  • 👯 I’m looking to collaborate on Machine Learning, Compiler Optimization (LLVM), Real Time Ray Tracing.

  • 🤔 I’m looking for help with ISO26262, Functional Safety, High Performance Computing, Autonomous Driving solutions

  • 💬 Ask me about Functional Safety, Graphics Programming, OpenCL, OpenGL, Vulkan, LLVM

  • 📫 How to reach me: Linkedin Badge Medium Badge

  • 😄 Pronouns: He/Him

  • ⚡ Fun fact: I enjoy writing lot of embedded boring stuff in my spare time and tinker with wierd pieces of old hardware like 8bit or 16bit CPUs

license: feel free to use my repos website

Pinned Loading

  1. KiranP-LaneLines-P1 KiranP-LaneLines-P1 Public

    This is my attempt to find lane lines - Udacity Course Finding Lane Lines

    Jupyter Notebook 1

  2. OpenCL-and-WebCL-Samples OpenCL-and-WebCL-Samples Public

    OpenCL samples

    1

  3. KiranP-Advanced-Lane-Lines KiranP-Advanced-Lane-Lines Public

    Goal is to create a software pipeline to identify the lane boundaries in a video and write a detailed commentary on the output.

    Jupyter Notebook 2

  4. KiranP-Behavioral-Cloning KiranP-Behavioral-Cloning Public

    In this project, you will use what you've learned about deep neural networks and convolutional neural networks to clone driving behavior. You will train, validate and test a model using Keras. The …

    Jupyter Notebook

  5. KiranP-Vehicle-Detection KiranP-Vehicle-Detection Public

    Vehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.

    Jupyter Notebook 2

  6. CarND-Kidnapped-Vehicle-Project CarND-Kidnapped-Vehicle-Project Public

    Forked from udacity/CarND-Kidnapped-Vehicle-Project

    A particle filter to localize a car using LIDAR data

    C++