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Avinash Chikkadlur Ravi Shankar

Bis 2023, Senior Software Engineer, Kopernikus Automotive GmbH
Abschluss: Master of Science, Technische Universität Chemnitz
Frankfurt am Main, Deutschland

Fähigkeiten und Kenntnisse

C/C++
Software Development
Agile Development
Python
Deep Learning
C
C++
SVN
Git
CMake
ADTF
HTML5
CSS3
Django Framework
OpenCL
OpenMP
OpenCV
Tensorflow
PyTorch
Keras
Docker
Kubernetes
Continuous Integration
CI/CD
Neon Intrinsics
Unit Testing
Application
Computer Science
Software
Rust (programming language)

Werdegang

Berufserfahrung von Avinash Chikkadlur Ravi Shankar

  • 1 Jahr und 1 Monat, Nov. 2022 - Nov. 2023

    Senior Software Engineer

    Kopernikus Automotive GmbH

    Worked on building software infrastructure for Automated Valet Parking (AVP-2) systems 1. Optimized a multithreaded software infrastructure for image acquisition and processing at remote facilities, which resolved memory leakages and access violations due to data race conditions 2. Developed video encoder and decoder tools to record remote camera streams over RTSP for internal data analysis and neural network training Skills: Software Infrastructure, Gstreamer, Rust, C++, Software Development

  • 1 Jahr und 4 Monate, Juli 2021 - Okt. 2022

    Consultant Software Engineering

    Windhoff Group

    Worked on developing the next generation of smart AI-based dishwashers for Miele. My roles included developing software component architectures and integrating deep-learning-based object recognition features that assist and improve user experience with an intelligent selection of programs. Skills: Software Integration, Software Architecture, Python, Powershell, Embedded Software Programming, C++, Continuous Integration, Unit Testing

  • 3 Jahre und 4 Monate, März 2018 - Juni 2021

    Software Developer

    TechConnect GmbH

    Worked as an external software engineer for ADAS at Robert Bosch. 1. Developed a tensor library in C++ for inference on ARM SoCs, conforming to MISRA C++ standards 2. Prepared and augmented image datasets, trained and deployed deep-learning models for free-space detection on automotive ECUs 3. Optimized inference algorithms to compute fixed-point data to reduce model size 4. Optimized algorithms with SIMD instructions for faster computation on embedded SoCs Skills: C/C++, Assembly, Python, Deep Learning

  • 8 Monate, März 2017 - Okt. 2017

    Master Thesis Student

    IAV

    Topic: Convolutional Neural Network-based Static Landmark Recognition in Urban Areas 1. Surveyed suitable deep learning models for static landmark recognition 2. Designed and trained models for semantic segmentation of objects in urban areas 3. Investigated models trained with RGB and RGB-D (with depth from stereo cameras) images for higher classification accuracy

  • 3 Monate, Dez. 2016 - Feb. 2017

    Research Intern

    IAV

    Topic: Algorithm development to generate point-cloud for static objects with stereo cameras 1. Developed interfaces to integrate POE stereo cameras with OpenCV library for calibration 2. Implemented stereo block matching algorithm in OpenCL for faster depth-map rendering

  • 3 Monate, Mai 2016 - Juli 2016

    Research Intern

    TU Chemnitz

    Developed ADTF plugins for SIFT and SURF algorithms in OpenCV for feature extraction from images.

Ausbildung von Avinash Chikkadlur Ravi Shankar

  • 3 Jahre und 4 Monate, Okt. 2014 - Jan. 2018

    Automotive Software Engineering

    Technische Universität Chemnitz

    Automotive Software Engineering, Machine Learning, Computer Vision

  • 4 Jahre, Sep. 2009 - Aug. 2013

    Electronics and Communication Engineering

    Sri Siddhartha Academy of Higher Education

    Electronics and Communication Engineering

Sprachen

  • Deutsch

    Gut

  • Englisch

    Fließend

  • Hindi

    -

  • Kannada

    -

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