Description

Hi there! I’m Motaz, a passionate AI and robotics engineer with hands-on experience developing intelligent systems and machine learning models. I love turning research ideas into real-world projects, from robotics simulations and control systems to deep learning and computer vision applications.

I’ve worked on several academic and personal projects involving AI model development, reinforcement learning, and robotic manipulation, with a strong focus on practical implementation and optimization. Whether building smart algorithms, solving complex problems, or collaborating on cutting-edge research, I enjoy every step of the process.

If you’re looking for someone who’s curious, reliable, and eager to bring AI and robotics concepts to life, let’s connect!

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Nile University
AI Research Intern
MECHANICAL ENGINEERING
July 2025 - September 2025 (2 months)
Cairo, Egypt
• Developed a complete AI web application integrating a Large Language Model (LLM) with a Retrieval-Augmented Generation (RAG) pipeline, enabling fact-grounded and context-aware responses.
• Engineered a Flask backend with REST APIs and connected it to a Gradio-based frontend, ensuring modularity and scalability.
• Implemented vector embeddings and a vector database for efficient semantic retrieval, reducing factual errors in LLM outputs.
• Conducted in-depth research on Multi-Agent Deep Reinforcement Learning (MADRL) for wastewater treatment plants, analyzing state-of-the-art methods such as MAADDPG.
• Drafted a formal research paper synthesizing MADRL methodologies and proposing novel approaches for sustainable control systems.
• Strengthened expertise in Hugging Face Transformers, LangChain, SQL/Vector databases, backend integration, and academic research writing.
Deep Learning TensorFlow Python Pytorch
Information Technology Institute (ITI)
Embedded Software Engineer Intern
January 2024 - May 2024 (4 months)
• Mastered ARM architecture, including processors, buses, and their functions, optimizing system performance by 15%.
• Designed and deployed efficient interrupt handling mechanisms, reducing latency by 20%.
• Integrated digital-to-analog conversion (DAC), serial communication protocols (UART, SPI), and wireless connectivity (WiFi, IoT) into embedded systems, enhancing communication reliability.
• Developed and optimized embedded firmware on the STM32F401CC platform, achieving a 25% improvement in system efficiency through code optimization and memory management.
• Streamlined firmware deployment by implementing firmware flashing, bootloader functionality, and hex data parsing routines.
• Completed six embedded systems projects utilizing the STM32F401CC microcontroller, showcasing practical applications of theoretical knowledge.
Mega Mind
Robotics Instructor
April 2025 - Today (1 year and 2 months)
• Develop and deliver engaging robotics curriculum for children aged 8–12, fostering STEM interest and problem-solving skills.
• Teach fundamentals of robotics using LEGO Mindstorms and Arduino kits, guiding students through building and programming autonomous robots.
• Demonstrate sensor integration, motor control, and basic AI concepts through hands-on projects like obstacle-avoidance vehicles.
• Lead workshops on computational thinking and algorithmic problem-solving using visual programming tools (Scratch, Blockly).
• Mentor student teams in robotics competitions, with three teams qualifying for regional championships.