Mechanical & Aerospace EngineerAvailable for work

Simulation & Optimization of Thermo-Mechanical Systems

I design, simulate, and optimize thermo-mechanical systems ranging from racecar aerodynamics to combustion within a hybrid propulsion rocket engines. My skills in CAD, CFD/FEA, Data analysis and Manufacturing Processes allow me to tackle autonomously a wide variety of engineering problems.

External AerodynamicsCombustion SimulationVehicle Dynamics ModellingThermo-Mechanical OptimizationComposites ManufacturingAI for CFD
Field Engineering Towards Performance
Team photo at Pittsburgh Shootout
MANIC-24 @ 2024 Pittsburgh Shootout
Scored maximum points in every event, 1st Overall on 40+ teams

Every research data and public reports are free to access.

About Me

I’m a mechanical/aerospace engineer specializing in optimization of thermo-mechanical systems. I enjoy turning complex problems into clean experiments, clear visuals, and decisive engineering actions.

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My toolkit spans CFD (RANS, LES), instrumentation, data analysis, and performance optimization. Correlation is the corner stone of all my work, whether it's wind-tunnel, on-track testing or carefully crafted methodologies.

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My main interests and objective are tied to motorsports for their competitive spirit, high-pressure environment and high level of attention to detail. I'm looking for challenge, precision and high-pace in my career. Being part of a team and pushing it to success is my passion. I'm also very interested in aerospace engineering, particularly rocket propulsion along more classical aerodynamics work.

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I strongly believe in AI-for-CFD applications, and am currently training and challenging myself by designing AI surrogates (mainly with Python) to improve CFD efficiency.

Areas of Expertise
Aerodynamics Modelling by CFD
Combustion and Propulsion
Surface and Solid CAD
Project Leadership for Technical Teams
Welding Processes for Manufacturing
Composites Design and Manufacturing
Vehicle Dynamics (Tyre, Kinematics)
Trackside Tooling & Telemetry
Lap Time Simulation for Aerodynamics
AI-Based Performance Prediction
Data-Engineering Tooling

Highlighted Work Experiences

Clear and concise view of my recent and pertinent work record, a more detailed version can be found on the CV page with complete work experiences.

Experience
Team Member — Formule ETS FSAE
Sept 2023 – Aug 2026
Montréal, Canada
  • Co-captain of a 30 persons multi-disciplinary team (2025)
    • - Administrative work related to school and external relationships
      - Sponsor and partnership managements
      - Human Resources work and in-team relationships
  • Aerodynamics and Chassis departments lead (2024-2026)
      - Designed a new floor/undertray bargeboard undertray for MANIC-24
      - In charge of cluster access for CFD operations
      - Optimized the aerodynamics and structure of the DELTA carbon fiber monocoque platform
      - Supervision of FEM Analysis work for structural integrity
      - Responsible for Structural Equivalency Spreadsheet and related validation work
      - Led the 2025 aerodynamic design to score a 15/15 at FSAE Electric 2025
      - Implemented and validated a parameterized cornering aerodynamics model
      - In charge of all the validation and modelling work through 2026
      - Responsible for the formation aerodynamics department members for 2026
      - Automated workflows for aeromap generation and design iterations
      - Implemented Adjoint-Optimization method pipelines for aerodynamic design
  • Vehicle Dynamics & Control (2026)
      - Created a full tyre model of the Hoosier 16x7.5-10 R20 compound
      - Modelled a comprehensive vehicle dynamics model for application in cornering aerodynamics
      - Application of the model to control theory (per wheel traction-control, torque vectoring)
      - Live and post-race data analysis towards car troubleshooting via a homemade telemetry interpreter
      - Derived aforementionned vehicle dynamics model into a full lap-time simulator
  • Manufacturing Operations (2024-2026)
      - In charge of welding operations and formation (FETS & BAJA ETS)
      - Manufacturing of the full carbon-fiber aeropackage
Master's Thesis — LARCASE
Sept 2024 – May 2026
Montréal, Canada
  • Led a team of 12 interns through the creation and validation of CFD models
    • - Managed a high-turnover workforce to increase research productivity
      - Formation of future engineers to high-level CFD modelling
  • CFD x AI-driven optimization of tubercle shapes applied to the UAS-S45
    • - High-volume production of CFD towards datasets creation and surrogate validation
      - AI surrogate for performance predictions of tubercle-shaped leading edge wings
      - Adjoint Optimization towards in-flight deformation (morphing)
  • RANS, URANS & LES Modelling
Research Intern — LARCASE
Sept 2023 – Feb 2024
Montréal, Canada
  • Adjoint-driven optimization of a tubercle wing section
  • Presentation of a paper to AIAA SCITECH 2025 Forum in Florida
  • Tools/Methods: , CATIA V5, OpenFOAM, DaFOAM, Python.
Education
M.Eng Mechanical Engineering
Université de Technologie de Belfort-Montbéliard • 2019–2024
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Design, Modelling, Additive Manufacturing, Materials Science, FEA, CFD, Fluid & Solid Mechanics, Optimization
M.Sc Aerospace Engineering
École de Technologie Supérieure • 2024–2026
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Aerodynamics, Combustion, CFD, Composites, Thermodynamics, AI & Neural Networks
Skills & Main Tools
Design Softwares
Rhinoceros 3DCATIA V53DEXPERIENCESiemens NXSolidWorksOptimum K
Simulation Softwares
StarCCM+ANSYS (Fluent, Mechanical, ACP)ABAQUSOpenFOAMSU2-CFDnTop
Data Analysis & Formatting
ExcelPythonMATLABParaViewPowerPointLaTeXMoTeC i2 Pro
Languages
French (Native)English (C1)Spanish (B2)Chinese (A2)

Work In Progress

Few projects I'm currently working on, whether they're personal or professional, that aren't yet released, published or public.

Portfolio Website to hopefully find a job
Portfolio website thumbnail

You're on it. Nothing much more than updates and regular maintenance.

Computer ScienceTailwindTypeScript JSX
Lap-Time Simulation
Lap-Time Simulation

Based on homemade vehicle dynamics model. Goal is laptime optimization of aerodynamics.

Vehicle DynamicsMATLABOptimumK
AI-driven Mesh Optimization
AI-driven mesh optimization

The goal is to build an AI model that will refine coarse meshes where mathematically needed.

PythonOpenFOAMSU2-CFD
Hybrid Rocket Engine Optimization
Hybrid rocket engine model in CAD

Optimization of several components of an hybrid-rocket engine (nozzle, injector, fuel).

CATIA V5StarCCM+MATLAB

Contact

Email
General Inquiries:contact@huperrin.com
Career Opportunities:pro@huperrin.com
Quick message for general inquiries
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