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π Iβm currently working with Nvidia as Embedded Engineering Leader, managing large teams developing cutting edge technologies in Autonomous Driving.
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π± Iβm currently learning Ada, Spark for Mission Critical Application writing.
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π― Iβm looking to collaborate on Machine Learning, Compiler Optimization (LLVM), Real Time Ray Tracing.
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π€ Iβm looking for help with ISO26262, Functional Safety, High Performance Computing, Autonomous Driving solutions
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π¬ Ask me about Functional Safety, Graphics Programming, OpenCL, OpenGL, Vulkan, LLVM
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π Pronouns: He/Him
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β‘ 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
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https://github.com/NVIDIA
- Bangalore India
- kputtur.github.io
- @kputtur
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KiranP-LaneLines-P1
KiranP-LaneLines-P1 PublicThis is my attempt to find lane lines - Udacity Course Finding Lane Lines
Jupyter Notebook 1
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KiranP-Advanced-Lane-Lines
KiranP-Advanced-Lane-Lines PublicGoal 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
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KiranP-Behavioral-Cloning
KiranP-Behavioral-Cloning PublicIn 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 β¦
Jupyter Notebook
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KiranP-Vehicle-Detection
KiranP-Vehicle-Detection PublicVehicle detection using machine learning and computer vision techniques for Udacity's self-driving car course.
Jupyter Notebook 2
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CarND-Kidnapped-Vehicle-Project
CarND-Kidnapped-Vehicle-Project PublicForked from udacity/CarND-Kidnapped-Vehicle-Project
A particle filter to localize a car using LIDAR data
C++
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