MOHAMED SAID

Embedded Systems & Firmware Engineer | IoT | Edge AI

Gabes, TN.

About

Highly skilled Embedded Systems and IoT Engineer with a National Engineering Diploma in Electrical and Automation Engineering, specializing in end-to-end connected-device prototype development. Expert in C/C++, ESP32/STM32 firmware, FreeRTOS, and secure LoRa/MQTT/BLE connectivity. Proven ability to design custom PCBs, perform hardware bring-up, and implement on-device machine learning, having successfully built and validated encrypted multi-node sensor networks and real-time greenhouse control systems.

Work

ETMH

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Embedded Systems Intern

Tunisia, Tunisia

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Summary

Developed and optimized embedded systems for water treatment, enhancing process stability and safety through real-time sensor integration and control logic.

Highlights

Developed ESP32 firmware for real-time sensor acquisition, process monitoring, and cloud telemetry, significantly improving data visibility and operational control for a water-treatment test system.

Implemented advanced electrocoagulation control logic, leading to enhanced process stability during critical testing phases.

Designed and integrated robust voltage and current protection mechanisms, effectively reducing unsafe operating conditions during system validation.

Freelance

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Embedded IoT Developer

Remote, United Kingdom of Great Britain and Northern Ireland

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Summary

Designed and implemented a comprehensive greenhouse monitoring and control system, integrating IoT solutions for resource efficiency and remote management.

Highlights

Developed a complete greenhouse monitoring and control system, incorporating precise temperature, humidity, and soil-moisture sensing capabilities.

Integrated MQTT messaging with live dashboards, enabling remote telemetry and real-time control to optimize greenhouse operations.

Optimized irrigation and ventilation control logic, resulting in improved resource efficiency and reduced operational costs.

Designed and developed a custom STM32-based controller board, facilitating seamless sensor and actuator integration for enhanced system performance.

Volunteer

Chairman

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ROBODEV Robotics and IoT Club

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Led and managed the ROBODEV Robotics and IoT Club, fostering technical skill development and community engagement among engineering students.

Highlights

Organized and delivered numerous embedded systems and IoT workshops, enhancing practical skills for engineering students.

Conducted comprehensive training sessions, significantly improving the technical proficiency of club members in key industry areas.

Education

ESSAT

Gabes, Tunisia
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National Engineering Diploma Electrical and Automation Engineering

Higher Institute of Industrial Systems

Gabes, Tunisia
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Master Degree Mechatronic Systems

Higher Institute of Industrial Systems

Gabes, Tunisia
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Bachelor's Degree Industrial Electronics

Languages

Arabic

English

French

Skills

Programming

C, C++, Python.

Embedded & RTOS

ESP32, ESP32-S3, STM32, ARM Cortex-M, Arduino, Raspberry Pi, FreeRTOS, real-time systems, interrupts, DMA, ADC, PWM.

Connectivity & Protocols

LoRa, MQTT, BLE, Wi-Fi, UART, SPI, I2C, CAN.

Edge AI

TinyML, Edge Impulse, K-Means anomaly detection, machine learning fundamentals.

Hardware & Tools

KiCad, LTspice, PCB design, power electronics, oscilloscope, Git, PlatformIO, Node-RED, Mosquitto, PicoMQTT.

Projects

Secure LoRa Sensor and Actuator Network

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Summary

Designed and implemented a robust, low-power 868 MHz LoRa star network, integrating a gateway, sensor node, and actuator node for secure and efficient data exchange.

Modular Smart Home IoT System

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Summary

Developed a scalable and modular smart home IoT system using ESP8266, providing versatile control for various home automation functions.

Smart Greenhouse System - Edge AI and IoT

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Summary

Designed and implemented an intelligent greenhouse system leveraging ESP32-S3, FreeRTOS, and Edge AI for real-time sensing, anomaly detection, and automated control.