Dr. Marius Schmiedt

Angestellt, Software Developer, Magna International
Bis 2024, Mechanical Engineering, TU Darmstadt
Untergruppenbach, Germany

Fähigkeiten und Kenntnisse

Machine Learning
TCU calibration
Python
Tensorflow
Keras
Neural Networks
Data Science
Data Engineering
Reinforcement learning
Supervised learning
Evolutionary algorithms
Sensitivity Analysis
MatLab
Automotive engineering
Programming
C#.NET
Research
C/C++
INCA
SQL
Web sraping
Big Data
Deep Learning
NumPy
pandas
TypeScript
C++
SciPy
JavaScript
React
Node.js

Werdegang

Berufserfahrung von Marius Schmiedt

  • Current 4 years and 3 months, since Mar 2022

    Software Developer

    Magna International

    Development and integration of embedded E/E software functions.

  • 4 years and 2 months, Jan 2018 - Feb 2022

    Calibration Engineer

    Magna International

    Calibration of software functions to improve the drivability of vehicles equipped with dual clutch transmissions.

  • 10 months, Jan 2017 - Oct 2017

    Student Employee

    University of Stuttgart

    Erstellung einer Access basierten Datenbank

  • 11 months, Jul 2015 - May 2016

    Working Student

    FPT Motorenforschung AG

    Development of several tools with C# for the On-Board Diagnostics department.

  • 6 months, Dec 2014 - May 2015

    Bachelor thesis

    FPT Motorenforschung AG

    Development of a tool for the evaluation of measurements recorded by the engine control unit with Matlab. On-Board Diagnostics department

  • 5 months, Mar 2013 - Jul 2013

    Intern

    SIEMENS

    Design of RCD (Residual Current Protective Device) spare parts with the CAD tool ProEngineer.

  • 5 months, Mar 2012 - Jul 2012

    Tutor

    HTWG Konstanz

Ausbildung von Marius Schmiedt

  • 4 years and 8 months, Aug 2019 - Mar 2024

    Mechanical Engineering

    TU Darmstadt

    Automatization of the calibration process for dual clutch transmissions with machine learning methods. Development of a novel algorithm to accelerate the calibration process (hybrid solution of Supervised Learning and Reinforcement Learning). Evaluation of different kinds of optimization algorithms in the scope of calibration automatization (Reinforcement Learning, Evolutionary Algorithms, etc.) and comparison with the novel approach.

  • 2 years and 2 months, Oct 2015 - Nov 2017

    Mechanical Engineering

    University of Stuttgart

    Master thesis: Numerical modelling of a specimen - determination of the fatigue lifetime under the influence of temperature and mechanically induced residual stresses at the Institute for Materials Testing, Materials Science and Strength of Materials (IMWF)

  • 4 years and 3 months, Mar 2011 - May 2015

    Mechanical Engineering

    Konstanz University of Applied Sciences

    Bachelor thesis: Development of a tool for the evaluation of OBD relevant monitorings of heavy duty Diesel engines with MATLAB.

Sprachen

  • German

    C2 (Verhandlungssicher / Muttersprachlich)

  • English

    C1 (Fließend)

XING – Das Jobs-Netzwerk

  • Über eine Million Jobs

    Entdecke mit XING genau den Job, der wirklich zu Dir passt.

  • Persönliche Job-Angebote

    Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.

  • 21 Mio. Mitglieder

    Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.

  • Kostenlos profitieren

    Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.

21 Mio. XING Mitglieder, von A bis Z