Portrait of Valentin Revert

Valentin Revert

Founding / Product Engineer · Nuclear Engineer

I build digital products and simulation tools. From SaaS to reactor physics: full-stack development, applied AI and scientific modelling.

Open to opportunitiesParis, France
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Selected work

CyberLouis

StudioInnov · Product & full-stack · 2026

A cybersecurity awareness platform for SMEs: training, phishing simulations and team progress tracking.

  • Product design, user journeys and full-stack development, from initial requirements to launch preparation.
  • Contextual AI assistant, authentication, access control, subscriptions and billing.

Next.js · Supabase · TypeScript

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NAAREA · XAMR reactor

Neutronics & thermohydraulics · 2024–2026

Simulations to assess a nuclear reactor’s response to accident scenarios and inform its design.

  • Circuit models in Modelica / Dymola and automated simulation campaigns in Python.
  • OpenMC / SciPy neutronics–thermal coupling, accident studies and comparison of draining-system designs.

Modelica · Dymola · Python

Personal projects

Neural Boids

Machine learning · Multi-agent simulation

Teaching simulated agents to avoid predators through imitation and reinforcement learning.

Python · NumPy · Pygame

Creative coding

Real-time graphics · GLSL & Python

Interactive visual experiments combining geometry, shaders and real-time animation.

GLSL · moderngl · Arcade

Scientific simulations

Physics & cellular automata · Python

Making gravity, chaos and emergent patterns visible through reproducible Python simulations.

NumPy · Numba · FFmpeg

Experience

July 2026 — PresentParis, FR

StudioInnov — CyberLouis.com
  • Designed and developed CyberLouis, from requirements and user experience to architecture, testing and launch preparation.
  • Built the Next.js and Supabase application, including authentication, access control, subscriptions and billing.
  • Created customisable training paths, phishing simulations and an AI assistant tailored to each user’s role.
Jan 2025 — Mar 2026Nanterre, FR

NAAREA
  • Modelled the XAMR reactor’s hydraulic circuits to assess thermohydraulic and neutronic behaviour during accident scenarios.
  • Developed calculation tools in Python, Modelica and Dymola to automate simulations and analyse results.
  • Led accident studies that informed equipment design and presented findings to technical management.
  • Compared design options for the reactor’s draining system.
Apr — Oct 2024Nanterre, FR

NAAREA
  • Developed a Python tool coupling OpenMC neutronics and SciPy thermal models to study emergency shutdown systems.
  • Built a 2D thermal model of a plate heat exchanger core.

Education

2021 — 2024Nantes, FR

IMT Atlantique
  • Specialised in nuclear engineering after admission through a competitive entrance examination.
  • Reactor physics, Monte Carlo simulation, nuclear safety, dosimetry and radiation protection.
Sep 2023 — Feb 2024Tokyo, JP

The University of Tokyo (UTokyo)
  • University exchange: courses in English and experience of Japanese academic life.
  • Nuclear safety, materials and fuels, non-proliferation and severe accident management.
2019 — 2021Paris, FR

Fénelon Sainte-Marie
  • Intensive study of mathematics, physics and engineering sciences in preparation for France’s engineering school entrance examinations.

Capabilities

Build complete products

Turn a need into user journeys, choose the architecture and connect interfaces, data and services. Keep the product coherent through preparation for launch.

CyberLouis — user journeys, authentication, access rights, subscriptions and billing.

Apply AI thoughtfully

Design an assistant around a specific use case, provide the relevant context and connect it to the application. Make the model’s role clear within the user journey.

CyberLouis — an AI assistant adapted to each user’s cybersecurity awareness training.

Measure before concluding

Define metrics, compare against baselines and keep evaluation separate from training. Document the protocol and interpret results within the limits of the tests.

Neural Boids — survival measurements, held-out episodes and comparisons between agent controllers.

Model and visualise

Translate a physical system into a model, couple its phenomena and automate simulation campaigns. Turn the results into comparisons and understandable visuals.

NAAREA — Modelica/Dymola circuits, OpenMC–SciPy coupling and Python automation.

How I work

Ownership & initiative

Structure an open-ended problem, identify priorities and move through concrete steps. Make progress visible and explain the choices that shape the next stage.

CyberLouis — from defining the product and its user journeys to preparing its launch.

Rigour & critical thinking

Make assumptions explicit, check consistency and distinguish observations from interpretation. State uncertainty clearly, including when a test does not support the expected improvement.

NAAREA & Neural Boids — accident studies, model comparisons and documented test limitations.

Listening & clarity

Clarify the need before proposing a solution. Adapt the level of technical detail to the audience and explain findings, options and limitations to support decisions.

NAAREA — presenting study conclusions to technical management to inform design choices.

Curiosity & adaptability

Learn unfamiliar tools and working methods, drawing on both scientific and software experience. Adapt to different technical subjects, teams and academic environments.

University exchange in Tokyo, then experience spanning nuclear engineering, SaaS and applied AI.

My tools

  • TypeScript
  • React / Next.js
  • Python
  • Supabase / PostgreSQL
  • NumPy / SciPy
  • Modelica
  • GLSL
  • Git

Languages

  • FrançaisNative
  • EnglishC1 · IELTS 7.5
  • EspañolB2
  • 日本語A1