Computer Engineering Student @ INSA Toulouse (ISS - Innovative Smart Systems) 📅 Graduating: September 2026 🇫🇷 Toulouse, France | Open to relocate in France | 🇲🇺 Mauritian
🔗 Linktree · 🤖 GitHub · 📧 Email · 💼 LinkedIn · 📄 Resume
🔌 
I am a Computer Engineering student at INSA Toulouse, specializing in Innovative Smart Systems, with a strong interest in embedded software development, IoT systems and hardware/software integration. I am graduating in September 2026! 🎉
Through my academic projects, I have worked on connected devices, embedded AI, wireless sensor networks, IoT security and autonomous robotics. My projects include an end-to-end LoRa-based smart gas sensor system, a CNN model optimized for edge AI, and a quadruped robot project involving FPGA-based processing, depth-camera perception, GSM communication and energy constraints.
I am currently looking for an opportunity in embedded software engineering, where I can contribute to reliable, efficient and hardware-aware systems in fields such as IoT, robotics, industry, automotive or smart systems.
| Company | Role | Timeline | Description |
|---|---|---|---|
| SCLE SFE | Software Engineering Intern | 2026 | Developed C++ image editing module with Qt, SVG integration, and industrial desktop applications |
| Qt Company | QA Engineer Intern | 2025 | Built UI crash datasets using REST APIs, reproduced critical issues, contributed to autonomous testing systems |
| Mauritius Telecom | Network Engineering Intern | 2024 | Analyzed 2G→5G infrastructure evolution, built Power BI dashboards with real network telemetry data |
| SD Worx Mauritius | Intern | Jul 2022 | Learned full-stack web development (HTML, CSS, Bootstrap, C#, SQL) with hands-on project experience |
| Project | Description | Tech |
|---|---|---|
| 🧠 Embedded AI Fall Detection | CNN-based fall detection with 94.5% accuracy, optimized from 3.6MB → 1.6MB | TensorFlow · Keras |
| 🌐 Smart Gas Sensor System | Full-stack IoT: custom sensors, LoRa communication, ChirpStack, mobile app | LoRa · KiCAD · IoT |
| 🤖 Quadruped Robot Locomotion | FPGA-accelerated locomotion, RealSense depth, AI gait optimization | FPGA · Robotics · C++ |
| ☁️ Smart Wine Cellar | Microservices architecture with 10+ services, REST APIs, real-time monitoring | Java · Spring Boot |
| 🔧 STM32 Sailboat Controller | Bare-metal C drivers: GPIO, UART, ADC, PWM, NVIC interrupts | C · STM32 |
| 🧩 Graph Algorithms | Dijkstra & A* implementation with clean architecture | Java · Maven |
| 🧩 Compiler (Lex & Yacc) | Complete compiler pipeline with lexical & syntax analysis | C · Parsing |
| 🎮 Minesweeper Web Game | Interactive game with difficulty levels & animations | JavaScript · GitHub Pages |
| Timeline | Institution | Degree |
|---|---|---|
| 2022 - 2026 |  INSA Toulouse |
Engineering Degree – Computer Science (IR-ISS - Innovative Smart Systems) 📅 Graduating: September 2026 |
| 2021 - 2022 |  Université Paul Sabatier Toulouse III |
Bachelor 1 – Computer Science |
| 2014 - 2021 | Loreto College Quatre Bornes | Higher School Certificate – Mathematics & Computer Science |
| Language | Proficiency | Certification |
|---|---|---|
| 🇬🇧 English | Native or bilingual (C1) | TOEIC 985/990 |
| 🇫🇷 French | Native or bilingual (C1) | DALF |
| 🇲🇺 Mauritian Creole | Native | — |
Languages
Embedded & Hardware
Frameworks & Libraries
Tools & DevOps
📝 Note: This README was created with the help of GitHub Copilot ✨