Engineering Mentorship.
For students who want to go beyond surface-level AI courses. A mentorship built on the discipline of French Classes Préparatoires and the precision of Japanese research methodology.
I am building a mentorship practice alongside my engineering career. If you are a student looking for guidance in AI/ML fundamentals, let's connect.
My Path
CPGE Joffre, Montpellier
Classes Préparatoires aux Grandes Écoles — two years of pure mathematics, physics, and engineering science at competition intensity.
豊橋技術科学大学
Toyohashi University of Technology — Japanese research methodology: obsessive precision, iterative refinement, and the discipline of kaizen.
Industry Practice
Real-world AI & data architecture across startups and scale-ups. Theory without application is philosophy; application without theory is guesswork.
Curriculum
This is not a tutoring service. It is a structured mentorship designed for students who want to operate at the level of top-tier engineering schools and research labs.
Mathematical Foundations
Linear algebra, probability, optimization — the vocabulary you need before any framework makes sense. We work from proofs, not tutorials.
Algorithm Implementation
Every model implemented from scratch in NumPy. You will derive gradients by hand, debug matrix dimensions, and build intuition that no course provides.
System Design Thinking
From a single model to a production pipeline. Data architecture, API design, deployment strategy — engineering at the system level.
Research Methodology
How to read papers, reproduce results, and develop original contributions. Depth before breadth, always.
Who this is for
CPGE students (MP, PSI, PC) preparing concours. University students in mathematics, computer science, or engineering who want to go beyond the curriculum. Self-taught engineers who need to fill the gaps in their theoretical foundations. If you are willing to work at a level most people avoid, let's talk.
Get in Touch
Reach out with your background and goals. I'll respond within 48 hours.