Mehul Saxena

Abschluss: MSc, Universität Stuttgart

Frankfurt am Main, Deutschland

Fähigkeiten und Kenntnisse

Deep Learning
Embedded Software Development
Automotive Software Development
The C Programming Language
MatLab
Python
C++
Vector Autosar Toolchain
Git
keras
theano
tensorflow
Canoe
Can
Linux
LIN
I2C
DaVinci Developer
Elektrobit Tressos

Werdegang

Berufserfahrung von Mehul Saxena

  • Bis heute 6 Jahre und 3 Monate, seit Apr. 2018

    Sr. Computer Vision Engineer (S3)

    Mobis Parts Europe N.V.

    Computer Vision algorithm development for autonomous driving project for Hyundai such as: 1) 360 Degree Vision 2) Camera Multi Object Tracking 3) LiDAR Multi Object Tracking

  • 2 Jahre und 9 Monate, Juni 2015 - Feb. 2018

    Software Developer/Architect

    AKE Mobile Communication

    I am the main software developer/architect of the company although it is just a part-time job because the company was quite small. Bluetooth Voice Communication System/ Bluetooth Intercom Project description-Creating Company Standard Intercom Profile for Bluetooth voice communication between 4 devices simultaneously -Configuring the existing A2DP and HFP profile using CSR Stack.

  • 2 Jahre und 2 Monate, Juli 2012 - Aug. 2014

    Product Development Engineer

    Hella India Automotive

    Working as an Automotive diagnostics developer (Using UDS ISO 14229) of AUTOSAR Stack. Here are the highlights of my projects:- - Trailer Towing Module Platform Project for AUDI, BMW and Daimler. - UDS LCM for MLBevo Platform - DXL Scripting for IBM Doors

Ausbildung von Mehul Saxena

  • 3 Jahre und 2 Monate, Okt. 2014 - Nov. 2017

    INFOTECH - Embedded Technology

    Universität Stuttgart

    - CGPA 1.6 on German Scale - Deep Learning - Machine Learning - Convolutional Neural Networks - Embedded Software Development - Data Structures - Communication Theory - Advanced Mathematics

  • 4 Jahre und 1 Monat, Juli 2008 - Juli 2012

    Electronics and Communications Engineering

    Vishwakarma Govt Engg College, Gujarat

    - CGPA 8.58/10 (1.7 on German Scale) - Basic electronics - Engineering Mathematics - Imaging Science - Communication Theory - Wireless Communications - Distributed Systems - Digital and Analog Circuits

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Hindi

    -

  • Gujarati

    -

Interessen

Steet Magic
Cardistry
Poker
Game theory and Probability Theory
Reading
Learning Programming Languages
Learning New skills in general

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