Benjamin ROSSIGNOL

Currently engaged in developing cross-platform software solutions and deepening my expertise in software engineering. Portfolio: https://benjaminrossignol.vercel.app/ • Design and deployment of a personal portfolio website to showcase technical projects and expertise. Main Project: Dionys (Cross-platform board game application) • Architecture: Developed using Kotlin Multiplatform (KMP) for optimal code sharing between iOS and Android. • Software Quality: Implementation of a robust technical stack including unit testing, linters, and Continuous Integration (CI/CD). • UX/UI: Design of user-centered interfaces powered by high-performance backend logic. Training & Self-Learning: • CS50 Certification (Harvard): Consolidation of fundamental computer science concepts in algorithms and C. • HSK Preparation (Chinese): Intensive language study with a focus on international mobility. • Daily training for Hyrox competitions (Oslo on Sept 26, 2025; Toulouse on March 19, 2026), building discipline and resilience applicable to technical challenges.

Within the Global Academy, I spearheaded the digital transformation of training monitoring processes across 22 factories and 9 countries. • Data Engineering: Designed and deployed a centralized data architecture to automate the ingestion and processing of data from heterogeneous sources. • Low-Code/Fullstack Development: Created data entry interfaces and dashboards using Power Apps & SQL to streamline operations for 600 trainers. • Impact Analysis: Audited and cleaned complex datasets covering 100 training programs to ensure the reliability of Key Performance Indicators (KPIs).

• Cutting-edge Visualization: Developed an interactive dashboard (Plotly Dash) for real-time monitoring of a multi-layered security architecture (IDS). • Data Engineering: Conducted analysis, cleaning, and aggregation of massive network traffic datasets (2GB+)—including Header and Payload data—for attack classification (DoS, Botnet, MITM). • ML Modeling: Integrated supervised classification models (Random Forest, SVM, VAE) and unsupervised clustering algorithms to identify unknown threats and zero-day attacks. • Optimization & Scalability: Performed a complete codebase refactor to support responsive design and drastically reduced data loading latency. • Scientific Communication: Created pedagogical interfaces to explain complex research concepts and patent-pending technologies to diverse stakeholders (researchers, clients, and investors).