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Rioche Patrick | Gravity Talent Portal

Rioche Patrick

Rioche Patrick

Backend Engineer

https://talent.gravityer.com/rioche-patrick

RSSI émérite, Enseignant Architecture et Sécurité SI. Mes passions sont: l'Aéromodélisme et l'Astronomie.

MINDCATALYSE

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

AngersMember since June 19, 2026

https://talent.gravityer.com/rioche-patrick

Top Skills

CMakeC++PythonRust

Skills

CMakeC++PythonRust

Experience

MINDCATALYSE

Backend Engineer

June 19, 2026 – Present

Projects

NewPIscope

August 14, 2025 – August 14, 2025

Télescope NEWton PIloter via Raspberry pour auto acquérir des images d'objets celestes

AstroPI

April 20, 2025 – September 2, 2025

Installation distribution pour Setup avec un PI4B2G

EBIOS-RM

January 11, 2024 – January 11, 2024

Multi-Plateforme

vma409

July 9, 2023 – July 9, 2023

vma409 — GitHub repository

ia

June 20, 2023 – June 21, 2023

ia — GitHub repository

MethodoMajTX16S

May 28, 2023 – March 12, 2025

MethodoMajTX16S — GitHub repository

niamstudio

January 15, 2023 – January 17, 2023

Etude NIAM via VisualStudio et NORMA

vma

January 11, 2022 – March 10, 2022

vma — GitHub repository

pov

January 9, 2022 – January 11, 2022

Porte Occulaire VMA

vie

February 4, 2021 – February 4, 2021

vie — GitHub repository

Key Strengths

Demonstrated interest in C++ and Python through personal projects.
Current role as Backend Engineer aligns with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through several personal projects, indicating a self-starter attitude. However, the descriptions are minimal, making it difficult to fully assess the depth and collaborative nature of these projects. The diversity of technologies (C++, Python, Rust) suggests a willingness to explore different tools.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.