Embedded System Engineer
Réf. 2608251944 · Tunis · 0 à 1 an d'expérience
Coordonnées masquées — CV anonymisé par PMEBTP
Ma recherche
Je recherche tout type de contrat, dans toute la France, dans le Batiment.
Atouts et compétences
- Collaboration and teamwork
- Flexibility and adaptability
- Curiosity and technological monitoring
- Analysis and problem solving
- C/C++
- Python
- Java
- VHDL
- Arduino IDE
- VS Code
- CubeIDE
- MQTT
- CoAP
- HTTP
- LoRa
- ChirpStack
- ESP32
- Raspberry Pi
- STM32
- Arduino (hardware)
- FPGA
- Machine Learning (ML)
- Deep Learning (DL)
- OpenCV
- TensorFlow
- SPI
- CAN
- I²C
- UART/USART
- RS232
- Test Automation
- Playwright (test framework)
Langues
Arabic (maternelle), French (courant), English (courant)
Expériences professionnelles
Automation of OQC testing
Employeur confidentiel
Automated OQC functional tests for a gateway product using Python and Playwright, improving testing efficiency and reducing manual intervention.
SmartCare – Intelligent assistance for the elderly
Employeur confidentiel
Developed an IoT‑based system using a smart camera to monitor elderly people remotely. Implemented fall detection with OpenCV and TensorFlow Lite, and created a Wi‑Fi notification system that alerts caregivers when abnormal events are detected.
Smart trashcan project
Employeur confidentiel
Developed a smart trash‑can capable of automatically identifying plastic, paper and cans using a camera‑based image classification system. Trained a TensorFlow/Keras deep‑learning model and integrated the classification system to automatically sort waste into appropriate compartments.
Smart collar for cows (internship)
Employeur confidentiel
Developed a smart collar for real‑time monitoring of cow behavior using embedded sensors. Implemented LoRaWAN communication for low‑power long‑range data transmission and integrated the system with ChirpStack on a Raspberry Pi for data collection and device management.
Smart surveillance camera project
Employeur confidentiel
Designed and developed a compact enclosure integrating an ESP32‑CAM and a PIR motion sensor for smart surveillance. Implemented motion detection, automatic image transmission via a Telegram bot for real‑time remote notifications.
Formations
Bac +5
Higher Institute of Computer Science El Manar (ISI)
Master's Degree in Intelligent Systems and IoT
Bac +3
Higher Institute of Computer Science El Manar (ISI)
Bachelor's Degree in Embedded Systems and IoT