
Timeline
About me
Machine Learning and Aerodynamics Engineer
Education

Technische universität münchen
-Master of science - ms luft-und raumfahrttechnik
Technische universität münchen
-Bachelor of science - basc mechanical engineering
Experience

Linde
Jul 2011 - Sept 2011InternshipProduction of inert gases: • Implementation of mechanical manufacturing processes • Supportive cooperation in production

Linde
Jun 2012 - Aug 2012Working studentProduction of inert gases: • Laboratory work and analysis • Evaluation and validation of test results • Monitoring of production processes and facilities

Linde
Jan 2013 - Jan 2013Working studentProduction of inert gases: • Independent planning and implementation of laboratory analysis • Development and evaluation of laboratory data• Implementation of further methods for analysis

Airbus
Jan 2015 - Jan 2015InternshipCabin Innovation/Market Insights:- Analysis and implementation of data using Excel and PowerPoint- Development of market analysis and simulations for future cabin layouts

Bauhaus luftfahrt
Jul 2017 - Jan 2017Working studentEconomics and Transportation: - Development of a system-dynamic model of the European air transport system using AnyLogic - Independent expansion of the system-dynamic model by using an agent-based modeling approach- Validation of data using Matlab and Excel

Bauhaus luftfahrt
Apr 2018 - Jan 2019Aerodynamic design space exploration of a propulsive fuselage concept (PFC) using computational fluid dynamics - Definition of the fuselage and engine geometry using Python - Implementation of the engine in the solver with a C++ code- Simulation of different propulsive fuselage geometries in OpenFoam - Complex design space exploration and optimization based on a surrogate model build in Python Visionary Aircraft Concepts - Development and validation of compressible flow simulations of different wing profiles using OpenFOAM- Automation of the CFD simulations using Python- Kinematic simulation of an innovative engine concept using Catia V5 - Validation of a simplified performance prediction method for boundary layer ingestion aircraft concepts using Matlab
Master`s Degree Candidate
Nov 2018 - Jan 2019Working Student
Apr 2018 - Jan 2018

Technische universität münchen
Aug 2019 - Jan 2022Phd candidate at the institute of aerodynamics and fluid mechanicsResearch fields: - Application of deep learning approaches for the load analysis at transonic buffet condition for real aircraft configurations- Data analysis based on experimental and numerical data

Airbus defence and space
Nov 2022 - nowMachine learning and aerodynamics engineer
Licenses & Certifications

Nanodegree program: deep learning
UdacityAug 2021
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