Manel Jrad

Development of a high-definition TFT display driver intended for displaying static information (audio source, volume level) through a graphical interface in an embedded environment. * Integration and configuration of a TFT display (MIPI interface) * Implementation of UART communication between the MCU and the display module * Management and configuration of Flash memory for icon storage Technologies: Embedded C, Python, TFT, MIPI, UART, Flash, STM32H747 Discovery

Development, testing, and validation of NFC firmware for embedded solutions. * Daily verification and validation of functionalities * Development of new NFC features and associated testing * Testing and validation of firmware releases Technologies: C, C++, embedded frameworks, Git, Python, NFC protocols

-> Client: Hensoldt Nexeya – France Developed amplifier software for the client Naval Group, enabling the supervision of different operating modes of the amplifier, as well as the management of external commands. * Developed new features * Integrated a new CAN controller into the system * Refactored the codebase * Synchronized communication between two microcontrollers.

Development of a home automation application to control different home systems. This application allows the management of lighting, temperature, and alarm systems. * Development of new features like (push notification, alarm system, scenario ...) * Integrate a new modules like (temperature, lighting, blinds, etc.) into the system * Re-invoicing Base code * Synchronize the communication with other intermediaries (cloud, user interface, modules)

Development of an electronic payment application for various banks in Canada and the US, for the client INGENICO. The electronic payment solution facilitates and secures online transactions. * Merging changes from one stream to another using SVN merge. * Development of new features (support for restaurant cards, adding new transaction types) * Fix code errors related to the EMV flow * Methodology: Agile ( SVN tool, JIRA, Bamboo ...)

Graduation Project: FMCW Radar Target Classification for Intelligent Traffic Monitoring & FPGA Implementation ( An intelligent solution for the classification of road traffic targets is developed, implemented, and tested using Xilinx's Vitis AI ) Keywords: Radar Targets Classification, Deep Learning, Vitis™ AI platform, Alveo U50

* Implementation of a continuous integration platform for a job search application. * Writing unit tests * Build, deploy and run the application in a Docker container. * Implementation of continuous integration pipeline