Shashikant Kulkarni

Angestellt, ADAS Computer Vision Engineer, Visteon Electronics Germany GmbH

Karlsruhe, Deutschland

Fähigkeiten und Kenntnisse

Deep Learning
Computer Vision
Python-Programmierung

Werdegang

Berufserfahrung von Shashikant Kulkarni

  • Bis heute 5 Jahre und 7 Monate, seit Nov. 2018

    ADAS Computer Vision Engineer

    Visteon Electronics Germany GmbH

    -Algorithm development for 2D object detection, Object Tracking and benchmarking on various Automotive SoCs -Comparison of Visteon's Lane and Object detection solutions with contemporary solutions in the market. Accuracy; Lanes: 90%, Objects: 87% when compared to MobilEye's EQ3 solution -Research work on deep learning, object detection and lane segmentation and their efficient implementation on an Embedded System -Co-authored a paper for ITSC 2019(https://ieeexplore.ieee.org/abstract/document/8917352)

  • 2 Jahre und 10 Monate, Dez. 2012 - Sep. 2015

    Senior Software Engineer

    Robert Bosch Engineering and Business Solutions Private Limited

    Computer Vision based automation framework development using Python and OpenCV, that was used in testing the infotainment system

  • 2 Jahre und 6 Monate, Juli 2010 - Dez. 2012

    Software Engineer

    Robert Bosch Engineering and Business Solutions Limited

Ausbildung von Shashikant Kulkarni

  • 2 Jahre und 10 Monate, Okt. 2015 - Juli 2018

    Information and Communication Systems

    Techniche Universität Hamburg Harburg

    Digital Image Anaysis, Mathematical Image Processing, Pattern Recognition and Data Compression, 3D Computer Vision, Digital Signal Processing, Software for Embedded Systems

  • 3 Jahre und 11 Monate, Aug. 2006 - Juni 2010

    Electronics and Communication Engineering

    Bangalore Institute of Technology

    Image Processing, Digital Signal Processing, C, C++, Embedded Systems, Micro Controller and Microprocessor programming

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

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