Sargunan Ramaswamy

Angestellt, Software Designer and Developer, KPIT Solutions GmbH

Oberschleißheim, Deutschland

Fähigkeiten und Kenntnisse

Computer Vision
Deep Learning
Machine Learning
Statistical Methods
Automotive
Software Development
Java
C/C++

Werdegang

Berufserfahrung von Sargunan Ramaswamy

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

    Software Designer and Developer

    KPIT Solutions GmbH

    Sensor fusion, C++, ROS, Deep Learning, Adaptive Autosar, Some-IP. Middleware design, Sensor integration

  • 8 Jahre und 1 Monat, Dez. 2010 - Dez. 2018

    Software Architect

    Robert Bosch Engineering and Business Solutions Limited

    Project: Autosar and adaptive ECU development, Virtual ECU development, EE architecture Project: Hackathon Project Activity Detection using Bosch Sensors (Accelerometer and Gyroscope) Project: ADAS, Deep Learning, Sensor fusion, ROS, C++ 11/14 Role Description: • In Intelligent algorithm group, worked on Pedestrian/vehicle detection and recognition using state of art deep learning algorithms such as Faster R-CNN , RFCN, GoogleLeNet, ResNet

  • 3 Jahre und 5 Monate, Juli 2007 - Nov. 2010

    Senior Software Engineer

    Accord Software and Systems, India

    Project: CRDC Application for IMA of AirBus A350. Vendor: Thales-Diehl Aerospace GmbH. Description: CRDC is configuration tool development for IMA (Integrated Modular Avionics).

Ausbildung von Sargunan Ramaswamy

  • 2 Jahre und 3 Monate, Sep. 2015 - Nov. 2017

    Embedded Systems

    University at Buffalo, The State University of New York

  • 3 Jahre, Sep. 2015 - Aug. 2018

    Automotive engineering

    Amrita Vishwa Vidyapeetham

  • 3 Jahre und 9 Monate, Sep. 2003 - Mai 2007

    Information technology

    Amrita Vishwa Vidyapeetham

Sprachen

  • Deutsch

    Grundlagen

  • Englisch

    Fließend

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