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Last update: 05.08.2022

Expert for mathematical models, algorithms and software development

Company: Bluebird Optimization LLC
Graduation: PhD Computational Engineering Science, MSc Computational Engineering Science
Hourly-/Daily rates: show
Languages: German (Native or Bilingual) | English (Full Professional) | French (Elementary)

Attachments

CV_Aug22.pdf

Skills

Work Experience:
Research and development of optimization algorithms for the energy transition
(Nov 2018 – Dec 2021), RWTH Aachen
  • Optimal production scheduling
  • Optimal cooperation in electricity grids
  • Time series models and ML models for thermodynamics
  • Modern C++, Python, MATLAB
  • LP, MILP, global (MI-)NLP
  • Leading a team of 3 developers
Expert for numerical optimization algorithms
(Feb 2021 – Mar 2021), thyssenkrupp Indus-
trial Solutions

Reference available: https://www.bluebirdoptimization.com/#references
  • Python
  • MILP
  • SQLAlchemy, InfluxDB
Student Assistant
(Jul 2017 – Apr 2018), AVT.SVT, RWTH Aachen
  • Extension and refactoring of an ODE solver
  • Automation of unit tests

Programming Languages: C++, Python, MATLAB/Simulink,FORTRAN, MS Office
Software Tools and Frameworks: Git, Cmake, Doxygen, GAMS, Qt, Modelica, design patterns, automatic software tests
OS: Linux, Windows
Mathematical Optimization Software: Gurobi, CPLEX

Theoretical Background:
M. Sc. and B. Sc. in Computational Engineering Science
  • Advanced algebra, statistics, data science
  • Software engineering
  • Numerical Simulation and Optimization
  • Process engineering and thermodynamics

Open-Source Code: https://git.rwth-aachen.de/avt-svt/public/AdvCutsCoopOPF

Project history

11/2018 - 12/2021
PhD candidate
Chair for Process Systems Engineering, RWTH Aachen University (10-50 employees)
Energy, water and environment
Research developing optimization algorithms for demand side management and smart electricity grids
Software development in C++ and MATLAB
Leading a team of software development assistants

02/2021 - 03/2021
Expert for optimization algorithms
thyssenkrupp Industrial Solutions (>10.000 employees)
Industry and mechanical engineering
External support in a numerical optimization project
  • Analysis of existing model
  • Development of several approaches to extend model
  • Implementation of promising approaches, software testing and documentation

Time and spatial flexibility

verfügbar für remote Projekte,
zu Projektbeginn und -abschluss oder bei wichtigen Meilensteinen auf Wunsch einige Wochen vor Ort weltweit möglich

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