Shashi Kumar Kempapura Srinivasa

Angestellt, Research Associate (Machine Learning), Fraunhofer IIS

Erlangen, Deutschland

Fähigkeiten und Kenntnisse

Python
Pytorch
Deep Learning
Machine learning
Keras
Tableau Software
KANBAN
Computer vision
OpenCV
Research
Tensorflow
Linux
Ubuntu
Windows
C/c++
MatLab
Software Development
Pattern Analysis
Pattern recognition
Git
SVN
Software Testing
Testing
Software Development Lifecycle
Unit Testing
System Testing
Method
Modularity

Werdegang

Berufserfahrung von Shashi Kumar Kempapura Srinivasa

  • Bis heute 5 Jahre und 5 Monate, seit Feb. 2019

    Research Associate (Machine Learning)

    Fraunhofer IIS
  • 7 Monate, Juni 2018 - Dez. 2018

    Master Thesis Student

    Siemens Corporate Technology

    1. Analyzing various state-of-the-art object detection models. 2. Developing a new method to accelerate deep learning models. 3. Comparing speedup vs performance trade-off.

  • 9 Monate, Aug. 2017 - Apr. 2018

    Working Student

    International Audio Laboratories Erlangen (FAU & Fraunhofer IIS)

    1. GUI development for speech recognition module. 2. Research on noise suppression of audio signals using LSTM networks.

  • 8 Monate, Feb. 2016 - Sep. 2016

    Software Engineer

    Robert Bosch Engineering and Business Solutions Limited

    1. Creating and automating test cases for driver assistance software. 2. Training new assosciates regarding various testing methods.

  • 1 Jahr und 7 Monate, Juli 2014 - Jan. 2016

    Associate Software Engineer

    Robert Bosch Engineering and Business Solutions Limited

    1. Development of a software module for diesel engines to calculate engine speed. 2. Unit level testing (White Box) and system level testing (Black Box) of engine management software.

Ausbildung von Shashi Kumar Kempapura Srinivasa

  • 2 Jahre und 3 Monate, Okt. 2016 - Dez. 2018

    Communications and Multimedia Engineering

    Friedrich-Alexander-Universität Erlangen-Nürnberg

    1. Image, Video and Multi-dimensional Signal Processing 2. Pattern Recognition 3. Pattern Analysis 4. Machine Learning in Signal Processing 5. Statistical Signal Processing

  • 3 Jahre und 10 Monate, Sep. 2010 - Juni 2014

    Electronics and Communication Engineering

    Sir M. Visvesvaraya Institute of Technology

Sprachen

  • Deutsch

    Gut

  • Englisch

    Fließend

  • Hindi

    -

  • Kannada

    -

Interessen

Cricket
Football
Reading

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