Marius Schmiedt

Bis 2016, Working Student, FPT Motorenforschung AG

Bis 2024, Mechanical Engineering, TU Darmstadt

Untergruppenbach, Deutschland

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

Werdegang

Berufserfahrung von Marius Schmiedt

  • Bis heute 2 Jahre und 2 Monate, seit März 2022

    Software Developer

    Magna International

    Development and integration of embedded E/E software functions.

  • 4 Jahre und 2 Monate, Jan. 2018 - Feb. 2022

    Calibration Engineer

    Magna International

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

  • 10 Monate, Jan. 2017 - Okt. 2017

    Student Employee

    University of Stuttgart

    Erstellung einer Access basierten Datenbank

  • 11 Monate, Juli 2015 - Mai 2016

    Working Student

    FPT Motorenforschung AG

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

  • 6 Monate, Dez. 2014 - Mai 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 Monate, März 2013 - Juli 2013

    Intern

    SIEMENS

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

  • 5 Monate, März 2012 - Juli 2012

    Tutor

    HTWG Konstanz

Ausbildung von Marius Schmiedt

  • 4 Jahre und 8 Monate, Aug. 2019 - März 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 Jahre und 2 Monate, Okt. 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 Jahre und 3 Monate, März 2011 - Mai 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

  • Deutsch

    Muttersprache

  • Englisch

    Fließend

Interessen

Networking
Programming
Python
Machine Learning
Neural Networks
MatLab
C#.NET

21 Mio. XING Mitglieder, von A bis Z