Software Engineer & 2nd year student at Epitech
Developer passionate about systems security and solving complex problems. Specialised in offensive cybersecurity and network security, with cross-cutting expertise in software architecture. Focused on technical depth and quality of execution.
// 01 — Projects
Real systems, deployed or showcased at hackathons. Every project reflects an obsession for technical depth and real-world impact.
Autonomous hardware device (Blue Team) for 802.11 network monitoring based on an ESP32 microcontroller, running in promiscuous mode for real-time packet analysis. Passive detection of attacks (Deauth, Evil Twin) via channel hopping, integrated with an embedded monitoring interface on an OLED screen and RGB indicator.
Project built at the Orange Business × Epitech Hackathon to optimise the migration of 90 VeloCloud routers. The decision algorithm uses real network telemetry (throughput, tunnels, flows) to propose a target architecture generating 64% cost savings. Includes a fully local AI agent (LLM) for natural-language database querying, with VPN-secured communications.
Premium B2B SaaS automating debt collection for craftsmen via a multichannel autopilot (SMS, Email, Registered Mail). Full development of the financial dashboard, sequencing engine (Cron) and third-party API integrations (Stripe, Twilio, Brevo) within a highly secured architecture (Anti-IDOR, Supabase RLS).
Autonomous algorithmic hedge fund deploying 8 parallel strategies via Docker Compose within an async 8-worker architecture. The decision engine merges machine learning (Random Forest), advanced technical analysis and two-level LLM validation (Llama 3), backed by strict money management (Half-Kelly) and monitored via a centralised Streamlit dashboard.
Quantitative trading algorithm developed in Python at the PoC × Ramify Hackathon. Implements a Channel Breakout strategy based on comparative technical analysis and signal normalisation over rolling windows, with strict algorithmic management of portfolio allocation and cash.
Native iOS app built in Swift 6, integrating an AI research assistant (Perplexity) to automatically enrich task and appointment context. Designed with an offline-first MVVM architecture, it guarantees data availability via SwiftData while ensuring background synchronisation with a secure Supabase backend (Auth, RLS).
// 02 — About
2nd year student at Epitech Nice, I'm building my expertise around systems security — offensive cybersecurity, network security, and a deep understanding of attack mechanics in order to defend better.
My projects span a broad technical spectrum — from embedded network intrusion detection to AI-driven SD-WAN auditing, along with SaaS architecture and algorithmic trading. This versatility isn't scattering: it's command of the full stack, from hardware to cloud infrastructure.
What drives me? Understanding how systems fall in order to build ones that hold. I look for opportunities where technical rigour meets real security stakes.
Stack & Skills
// 03 — Experience
Architecture & Development
Architecture definition and MSSP tenant setup for an internal GRC management solution. Feature development (PHP / MySQL).
Founder & Lead Developer
B2B SaaS automating debt collection for craftsmen.
SD-WAN Audit Platform — 2nd place
Migration optimisation for 90 VeloCloud routers with a fully local AI agent.
Quantitative Algorithmic Trading Bot
Channel Breakout strategy with strict algorithmic money management.
Grande École du Numérique
2nd year — Project-based 5-year engineering program.
// 04 — Contact
Open to internship opportunities, technical collaborations and ambitious projects.