Computational Engineer · Switzerland

Kamel Chahbi

MSc in Computational Mechanics in Engineering. Specialist in CFD simulation, thermal analysis, and Python development. Currently pursuing BSc Computer Science at HSLU Lucerne.

✉chahbikamel@gmail.com ☎+41 78 309 74 29 inLinkedIn GHGitHub
Kamel Chahbi – Computational Engineer

Expertise

Areas of Specialisation

A distinctive combination of computational mechanics, fluid dynamics simulation, and applied software engineering.

01

CFD Simulation

High-fidelity computational fluid dynamics using ANSYS Fluent, ANSYS CFX, STAR-CCM+, and OpenFOAM. Turbulence modelling, conjugate heat transfer, particle dispersion, and sensitivity analysis.

02

Thermal Analysis

3D conjugate heat-transfer modelling across coupled fluid and solid domains. Applied to industrial-scale hydro-generators and HVAC systems, including hotspot identification and cooling path optimisation.

03

Python Development

Automated data pipelines, market analytics tools, and Telegram bots. Experienced in data cleaning, normalisation, structured storage, and interactive visual analytics dashboards.

Career

Professional Experience

Sep 2021 – Nov 2021 Aeris Cleantec AG
Cham, Switzerland
CFD Simulation Engineer
Aeris Cleantec AG
  • Conducted a CFD study of an indoor test room to quantify air mixing and air-purifier effectiveness, including steady-state RANS setup, meshing, boundary conditions, and convergence checks.
  • Diagnosed stagnation and short-circuit zones from 3D flow fields and streamlines, translating results into purifier placement and orientation recommendations.
  • Modelled particle dispersion using a Lagrangian Discrete Phase Model (DPM) to compare configurations via residence-time and trajectory analysis.
RANSLagrangian DPM ANSYS FluentMeshing
Jan 2021 – Apr 2021 G-20 Strategies AG
Zurich, Switzerland
Python Developer
G-20 Strategies AG
  • Built and maintained an automated market-data pipeline covering retrieval, cleaning, normalisation, structured storage, logging, and error handling.
  • Developed and deployed a Telegram bot for real-time portfolio monitoring, alerts, and automated stakeholder reporting.
  • Created interactive visual analytics dashboards for position tracking and trade review, improving risk visibility and performance assessment.
PythonData Pipeline Telegram APIVisualisation
Jan 2019 – Jun 2019 GE Renewable Energy
Belfort, France
CFD & Thermal Analysis Engineer
GE Renewable Energy
  • Built 3D conjugate heat-transfer CFD models for a 73 MVA hydro-generator to assess cooling paths and identify thermal hotspots across coupled fluid and solid domains.
  • Investigated rotor–stator seal leakage and conducted sensitivity analyses using the k-ω SST turbulence model to ensure robust predictions under relevant flow regimes.
  • Validated CFD results against analytical tools and produced a reusable simulation and reporting framework for future studies.
Conjugate HTk-ω SST STAR-CCM+Thermal Analysis

Academic Background

Education

Feb 2026 – Present
BSc Computer Science (part-time)
Lucerne University of Applied Sciences and Arts (HSLU)
Rotkreuz, Switzerland
2016 – 2019
MSc Computational Mechanics in Engineering
University of Strasbourg
Strasbourg, France

Toolkit

Skills & Languages

Programming
Python MATLAB Fortran
Dev & Tools
Git Docker Linux
Simulation / CAE
ANSYS Fluent ANSYS CFX STAR-CCM+ OpenFOAM
CAD
SolidWorks
Languages
French FluentC1
English FluentC1
German IntermediateB2
Interests
Embedded Systems IoT Hardware Prototyping Fitness Travelling

Get in Touch

Open to new opportunities, collaborations, and interesting projects.