Ahmed Kharrat

– Designed and developed real-time embedded software in C++ and Python on Linux-based systems (OpenWRT) running on RK3328 SoC. – Built and maintained a custom cross-compilation toolchain to streamline development and deployment of the embedded system. – Developed real-time firmware logic including device state machines, event handling, timing constraints, and low-power behaviors for battery-powered sensors. – Integrated Matter protocol at device level, exposing endpoints and clusters for siren, door sensor, and keypad devices, including custom cluster extensions. – Developed a robust orchestrator in Python and shell scripting to manage five LXC containers, coordinating system services and automation workflows. – Deployed Matter controller container for unified communication and a Matter bridge container for seamless integration with legacy, non-Matter cameras. – Engineered a stable network layer using custom bridge configurations over NetIP protocol for high-reliability camera streaming via AP mode. – Integrated and managed the Quectel 4G/LTE module to provide cellular backhaul connectivity for the embedded system. – Configured PPP / QMI / ModemManager for stable LTE data sessions under OpenWrt. – Implemented watchdog and recovery procedures to handle modem crashes and network loss.

Smart Energy Monitoring System Development – System board design, including electronic schematic analysis, component selection, PCB routing, and performing essential tests and validations. – Integrate third party Modbus driver to ensure the communication between the board and energy meter. – Implement on board three-phase energy meter system. – OTA Update solution Integration & deployment. – Integrate third party WIFI and MQTT to real time monitoring. – Implement Serial firmware upgrade application to update stm32 binary from esp32 via uart. Development of a Connected Parcel System – Design a system to enable complete tracking of a parcel throughout its delivery journey, with data collection and recording at every stage. – Implement the driver layer for the E-Paper display to enable dynamic visualization of collected data. – Integrate drivers for the accelerometer, light sensor, and temperature and humidity sensors. – Integrate and manage the API for an NFC tag to ensure accurate data reading. – Record the history of collected data in external flash memory to ensure traceability. – Display collected data on the E-Paper screen and make it accessible via the NFC tag. – Test and optimize the system to ensure optimal performance. Smart Plug – Implement seamless data exchange program using wifi and MQTT protocols. – Emulate an EEPROM on the microcontroller by allocating partition of its flash memory. – Integrate third party BLE API for end user authentification and interaction. – Integrate, optimize, test of AI model to detect the presence of humans/pets based on wifi sensing. Obstacle Detection For Blinds – Integrated a 9-axis IMU sensor into the system using the I2C protocol for efficient and reliable data communication. – Developed and implemented an algorithm to compute angular orientations using a 9-axis IMU sensor. – Integrate API to communicate with camera for configuration, calibration and reading images. – Optimize matlab script for obstacle detection based on image processing approach to c++. – Applying multithreading optimization techniques. – Integrate deep learning model to obstacle detection. – Coordinate system threads to manage different features application.

– Implementation of a new partitioning approach that takes into account the SLR level – Feature development, mainly in C++, for Multi-FPGA prototyping problems. – Analysis, fine-tuning, and optimization of software performance. – Design and implement configuration tool for the routing multiplexing con- cept. – Optimize the routing shortest path algorithm in C++.