Hello! I'm Khaled Mahmoud Suliamani, a passionate Computer Science student in my fourth year at Umm Al-Qura University, Al-Qunfudah Branch. I'm a dedicated full-stack robotic engineer with a deep love for artificial intelligence and cutting-edge technologies.
My passion for AI drives me to continuously expand my knowledge beyond university curriculum through self-directed learning and practical applications. I have extensive hands-on experience with hardware like PC building and hardware platforms including Arduino and ESP32, complemented by proficiency in SolidWorks for mechanical design and engineering.
I specialize in bridging the gap between software and hardware, creating innovative solutions that combine programming expertise with mechanical engineering and electrical systems. My diverse skill set spans multiple programming languages, robotics, and IoT development, allowing me to tackle complex interdisciplinary projects.
This project uses the HuskyLens AI camera and an Arduino UNO to detect human faces. When a face is recognized, an LED connected to the Arduino is turned on.
A modern chatbot application built with Flutter, providing real-time conversational AI experience. Integrates advanced NLP and a beautiful UI for seamless user interaction.
A complete Flutter mobile app for controlling and saving robot arm poses with 4 motor sliders (0-180°). Features include pose saving/loading via MySQL database, PHP backend integration, and intuitive UI for robot arm management.
An advanced Sudoku solver and analyzer that uses AI algorithms to solve and analyze Sudoku puzzles. Features a user-friendly interface and detailed solution steps.
A comprehensive web interface for controlling 6-motor robot arms using HTML, CSS, JavaScript, and PHP. Features real-time slider controls, pose management, and database integration for saving/loading motor positions.
An intelligent RC car using Arduino, L293D motor driver, and ultrasonic sensor for autonomous obstacle avoidance. Features predefined movement patterns and real-time obstacle detection with automatic navigation adjustments.
An intelligent Arabic voice assistant powered by Cohere AI and Python. Features real-time speech recognition, AI-powered responses, and text-to-speech capabilities for natural Arabic conversations.
An automated door control system using Arduino and ultrasonic sensors. Detects approaching objects and automatically opens/closes the door with servo motor control, featuring adjustable detection range and smooth operation.
Explore my professional certifications and achievements in technology, programming, and specialized skills that demonstrate my commitment to continuous learning and excellence.
Download my comprehensive CV to learn more about my professional experience, educational background, and technical skills in detail.
Professional recommendation letters from supervisors, colleagues, and industry professionals who can attest to my work quality and technical expertise.
Gained valuable hands-on experience in cutting-edge technology solutions during a comprehensive 6-month internship program. Worked on real-world projects involving AI, robotics, and smart systems development.
"It was a pleasure to oversee the work of Khaled Mahmoud Sulaimani during his cooperative training internship."
"I am pleased to recommend Khaled Mahmoud Sulaimani, who has successfully completed a six-month cooperative training program in robotics."
"Khaled’s role involved significant contributions to 3D design and modeling, his work ethic and technical proficiency far exceeded typical expectations."
I'm always interested in new opportunities and exciting projects. Let's discuss how we can work together!
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