Mohammed Hedi Abdellatif
Building intelligent systems that bridge hardware and software. With 3+ years of experience in embedded development, IoT solutions, and robotics, I create innovative technology solutions that solve real-world problems.
About Me
Passionate about creating innovative embedded solutions
Engineering Excellence in Embedded Systems
I am a Computer Engineering student specializing in Embedded Systems and IoT at the Higher Institute of Computer Science of Mahdia, with more than three years of hands-on experience. I am actively seeking a PFE internship where I can contribute to real-world projects and enhance my expertise in embedded and intelligent systems.
My experience includes embedded programming, circuit design, and application development, along with an understanding of cloud integration. I am interested in applying technology to address real-world problems through well-designed and practical solutions.
Technical Expertise
Comprehensive skill set from hardware to software
Embedded & Hardware
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RPi
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ESP32/Arduino
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Zynq-7000 SoC/Artix-7
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Circuit Design
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Sensor Integration
Programming Languages
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C/C++
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Python/Java
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Dart/Flutter
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JavaScript
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SQL
Tools & Platforms
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Git/GitHub
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VS Code
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FireBase/MongoDB
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STM32CubeIDE
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Vivado/Vitis
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TensorFlow Lite
Featured Projects
Real-world solutions showcasing technical expertise
Security
Intelligent Home Security System
Multi-sensor security system using ESP32-CAM with real-time monitoring, motion detection, and Flutter mobile app for remote alerts and control.
Hardware
Smart RFID Attendance System
Automated attendance logging system combining RFID hardware with Python GUI, featuring database integration and automated report generation.
AI/ML
Student Performance Predictor
Machine learning model to predict student success using Scikit-learn, applying data preprocessing, feature engineering, and model evaluation.
Mobile
IoT
Trackora - LoRa Tracker
Long-range asset tracking system using LoRa technology with real-time GPS monitoring, geofencing, and web/mobile dashboard for tracking.
AI/ML
Sales Prediction System
Machine learning-based sales forecasting system using Apache Spark and Hadoop for big data processing with Flask API and MongoDB database.
DevOps
Proxmox VM Automation with Terraform
Automated virtual machine deployment on Proxmox using Infrastructure as Code (IaC) principles. Created reusable Terraform modules for consistent VM provisioning, reducing deployment time from 30 minutes to 30 seconds.
Let's Connect
Interested in working together? Get in touch