MAKLab

Professional Summary

Experienced Computational Engineer with a strong foundation in computational fluid dynamics(CFD) and numerical modeling, combining academic training with practical industry expertise. Holds a Master's degree in Computational Science and Engineering from Technical University of Munich (TUM) and brings proven experience in automotive applications and infrastructure consulting projects. Proficient in industry-standard CFD tools including OpenFOAM, ANSYS, Pyrosim, SALOME and FloEFD, ICEM-CFD, ANSYS Mechanical, CalculiX, SpaceClaim, Siemens NX, SolidWorks, SolidEdge, and Fusion 360 with demonstrated ability to develop custom solutions through UDF programming and OpenFOAM library development. Technical expertise extends to programming and computational modeling, with Python, C/C++, MATLAB, Git, MPI, OpenMP, OpenGL, CUDA, PyTorch, Scikit-learn, and TensorFlow. Capable of performing complete CFD, FEA and Multiphysics simulations—including pre-processing, solving, and post-processing—entirely using open-source tools. Familiarity with all major CAD tools like ANSYS SpaceClaim, SolidWorks, Siemens NX and Fusion 360. Track record of delivering sophisticated fluid dynamics solutions across diverse sectors including automotive, transportation infrastructure, and large-scale architectural projects.

*NOTE: This website includes information about my publications and a series of computational fluid dynamics (CFD) projects created for demonstration purposes. It is important to note that the results presented here are not from any of my professional work or industrial projects. They are solely intended to illustrate various approaches to problem-solving using CFD techniques.