Kshitij Patle

is out learning. 🎓

Praktikum, Intern, Kärcher Deutschland
Winnenden, Germany

Fähigkeiten und Kenntnisse

CFD
Ansys fluent
Solidworks
Catia V5
Python
3d printing
OOPs
Matlab
REEF3D
Machine Learning
Team work
Deutsch

Werdegang

Berufserfahrung von Kshitij Patle

  • Current 9 months, since Oct 2025

    Intern

    Kärcher Deutschland

    - Conducted thermal analysis of components using ANSYS Fluent, specifically focusing on complex phenomena including multiphase evaporation and radiation heat transfer. - Implemented a robust co-simulation environment by coupling ANSYS Fluent with Python using FMU (Functional Mock-up Units) interfaces

  • 8 months, Feb 2025 - Sep 2025

    Studentische Hilfskraft

    Fraunhofer-Institut für Holzforschung Wilhelm-Klauditz-Institut WKI

    - Conducted RANS-based CFD simulations to model wind load distribution on timber high-rise structures. - Carried out modal analysis using CFD-derived pressure fields to identify critical resonance frequencies and assess dynamic stability.

  • 1 year and 5 months, May 2024 - Sep 2025

    Student research assistant

    Technische Universität Braunschweig

    - Executed RANS simulations across complex geometries to analyse pressure-induced flow separation zones. - Led the transfer of experiments from an open test section wind tunnel to a Low-Noise, Low-Speed Wind Tunnel (LNB) with a closed test section. - Modified and adapted experimental apparatus to meet the new testing requirements. - Designed and 3D-printed custom jigs to optimize the experimental setup. - Conducted all experiments and collected high-quality reference data for analysis.

  • 7 months, Sep 2024 - Mar 2025

    Student Research Assistant / Studentische Hilfskraft

    Technische Universität Braunschweig

    Utilized REEF3D to model hydrodynamic and transport processes around offshore wind farms

  • 1 year and 1 month, Jul 2021 - Jul 2022

    Assistant System Engineer-Trainee

    Tata Consultancy Services Ltd

Ausbildung von Kshitij Patle

  • Current 2 years and 9 months, since Oct 2023

    Computational Sciences in Engineering

    TU Braunschweig

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

  • Hindi

    C2 (Verhandlungssicher / Muttersprachlich)

  • Marathi

    C2 (Verhandlungssicher / Muttersprachlich)

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