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Varun Dongre

CFD & Thermal Simulation Engineer | Ansys Fluent, GT-Suite, StarCCM+ | Python, C/C++, MATLAB/Simulink | Multiphase, Reduced-Order Modelling, CFD-ML Integration

Bengaluru

5+ years of work experience

Indian Institute of Science (IISc)
Jul 20254 mosOct 2025

Bengaluru

1. Development of Thermal Resistance Network (TRN) in Python (NumPy, SciPy) for cross-flow heat exchanger for supercritical CO₂ (sCO₂) Brayton cycle for energy generation. 2. Built and validated CFD model on Ansys Fluent against TRN results for model reliability.
Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology
Sep 20231 yr 3 mosNov 2024

Hamburg, Germany

1. Implementation of rCFD simulations for BASF's pilot-scale fluidized bed (30m) tall to study solid mixing and heat transfer characteristics.
TUSAIL
Sep 20213 yrs 10 mosJun 2025

Linz

Johannes Kepler Universität Linz
Sep 20212 yrs 1 moSep 2023

Linz

1. Developing upscaling methodologies for the EU's Marie Sklodowska-Curie's Horizon 2020 network, partnering 6 universities and 9 industries across Europe. 2. Developed a data-driven Recurrence CFD (rCFD) method to simulate gas-solid behavior for lab-scale and pilot-scale fluidized bed reactors to speed up simulation times by 10,000x compared to classical CFD simulation methods. 3. Validated the rCFD model against the TFM model to achieve an accuracy of 95%. 4. Cross-Functional Industry Collaboration: Interfaced directly with industrial R&D teams to translate academic computational models into scalable, production-ready process engineering workflows.
Chalmers University of Technology
Mar 20214 mosJun 2021

Sweden

Chalmers University of Technology
May 202011 mosMar 2021

Gothenburg

This master thesis aims at performing CFD simulations for an Internal Combustion engine using a commercial tool called Converge CFD. The Simulation performs at building a 3D grid with moving valves and piston motion having certain boundary conditions. With having a different valve opening timings the combustion process can be visually stimulated to check for NOx, Hydrocarbons and un vaporized fuel molecule. The simulated data will be post-processed on Tecplot 360 for Film thickness, Emissions, Thermal data, and many more.

Varun’s AI Stack

antigravity
antigravity
claude
claude
deepseek
deepseek
gemini
gemini
openai
openai
perplexity
perplexity

Education

Chalmers University of Technology

Masters, Automotive Engineering Technology/Technician

Chalmers University of Technology

20182 yrs2020
Malnad College of Engineering

Bachelor of Engineering - BE, Automotive Engineering

Malnad College of Engineering

20124 yrs2016

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Headline

CFD & Thermal Simulation Engineer | Ansys Fluent, GT-Suite, StarCCM+ | Python, C/C++, MATLAB/Simulink | Multiphase, Reduced-Order Modelling, CFD-ML Integration

About

CFD and Thermal Simulation Engineer | Digital Twins I'm a CFD and process simulation engineer with 4+ years delivering industrial-scale reactor optimization and thermal systems design. My focus: Accelerating R&D cycles through validated simulation frameworks. Expertise: 1. CFD: Ansys Fluent, Star CCM+, Converge CFD, OpenFOAM. 2. Process Simulation: Aspen Plus, HYSYS, gPROMS, DWSim. 3. Programming: C/C++, Python (NumPy, Pandas, TensorFlow). 4. Multiphase systems: DEM, TFM, and Eulerian-Lagrangian coupling. Impact: 1. Developed rCFD simulation framework (30m pilot-scale fluidized bed), reducing R&D cycle time by 90% (4 weeks to 3 hours). 2. Architected custom UDFs in Ansys Fluent for industrial-scale multiphase reactor design. 3. Achieved 10,000x computational speedup while maintaining 95%+ accuracy vs. classical CFD methods. Industries: Automotive, Aerospace, Chemical, Process, and Energy. AVAILABLE: Full-time, immediately. Open to opportunities in India (Bangalore, Pune, and Chennai preferred). Let's connect if you're hiring or know someone who is.

Location

Bengaluru

AI stack

antigravity

claude

deepseek

gemini

openai

perplexity

Work experience

Project Associate - 1 at Indian Institute of Science (IISc), Jul 2025 - Oct 2025 · 4 mos, Bengaluru, 1. Development of Thermal Resistance Network (TRN) in Python (NumPy, SciPy) for cross-flow heat exchanger for supercritical CO₂ (sCO₂) Brayton cycle for energy generation. 2. Built and validated CFD model on Ansys Fluent against TRN results for model reliability.

CFD & Process Engineer at Institute of Solids Process Engineering and Particle Technology, Hamburg University of Technology, Sep 2023 - Nov 2024 · 1 yr 3 mos, Hamburg, Germany, 1. Implementation of rCFD simulations for BASF's pilot-scale fluidized bed (30m) tall to study solid mixing and heat transfer characteristics.

Early Stage Researcher at TUSAIL, Sep 2021 - Jun 2025 · 3 yrs 10 mos, Linz

CFD & Process Engineer at Johannes Kepler Universität Linz, Sep 2021 - Sep 2023 · 2 yrs 1 mo, Linz, 1. Developing upscaling methodologies for the EU's Marie Sklodowska-Curie's Horizon 2020 network, partnering 6 universities and 9 industries across Europe. 2. Developed a data-driven Recurrence CFD (rCFD) method to simulate gas-solid behavior for lab-scale and pilot-scale fluidized bed reactors to speed up simulation times by 10,000x compared to classical CFD simulation methods. 3. Validated the rCFD model against the TFM model to achieve an accuracy of 95%. 4. Cross-Functional Industry Collaboration: Interfaced directly with industrial R&D teams to translate academic computational models into scalable, production-ready process engineering workflows.

Teaching Assistant - 1D GT-Power and GT-Suite Modelling at Chalmers University of Technology, Mar 2021 - Jun 2021 · 4 mos, Sweden

Master Thesis: Development and Coupling of 1D and 3D CFD Model for Fuel Film Characterization at Chalmers University of Technology, May 2020 - Mar 2021 · 11 mos, Gothenburg, This master thesis aims at performing CFD simulations for an Internal Combustion engine using a commercial tool called Converge CFD. The Simulation performs at building a 3D grid with moving valves and piston motion having certain boundary conditions. With having a different valve opening timings the combustion process can be visually stimulated to check for NOx, Hydrocarbons and un vaporized fuel molecule. The simulated data will be post-processed on Tecplot 360 for Film thickness, Emissions, Thermal data, and many more.

Education

Masters, Automotive Engineering Technology/Technician, Chalmers University of Technology

Bachelor of Engineering - BE, Automotive Engineering, Malnad College of Engineering