Waleed Etawi

AI Engineer, Full-Stack Developer, and Co-Founder with a B.Sc. in Artificial Intelligence & Data Science from Princess Sumaya University for Technology. Experienced in Generative AI, Machine Learning, Deep Learning, Large Language Models (LLMs), AI Agents, Data Engineering, full-stack development, REST APIs, workflow automation, and software engineering. Co-Founder of Gate Matrix, where I design and develop AI-powered solutions, web applications, automation systems, and customized software for business needs.

Experienced with Python, LangChain, LangGraph, TensorFlow, Flask, Streamlit, Google Gemini, SQL, JavaScript, and modern AI development practices. Strong ability to translate business requirements into scalable, production-ready AI and software solutions.

Co-Founder, AI Solutions Engineer & Full-Stack Developer at Gate Matrix (2025-01 – Present)

Co-founded Gate Matrix, a digital solutions company focused on AI-powered applications, software development, business automation, and digital transformation.

• Design and develop AI-powered solutions including intelligent chatbots, AI agents, automation workflows, business applications, and customized software systems.
• Develop full-stack web applications across frontend and backend components, integrating REST APIs, databases, third-party services, authentication, and business logic.
• Build and integrate Large Language Models (LLMs), AI agents, tool calling, workflow automation, and intelligent processing into business applications.
• Translate client requirements and business problems into scalable technical solutions covering system architecture, development, integration, testing, deployment, and maintenance.
• Collaborate directly with clients and stakeholders to analyze requirements, design solutions, implement features, and deliver production-ready applications.
• Work across the complete software development lifecycle while applying modular architecture, version control, API integration, testing, debugging, and deployment practices.

AI Engineering Intern at Acabes AI Solutions (2026-06 – 2026-09)

• Developed Generative AI applications, AI agents, and intelligent workflow systems using Python, LangChain, LangGraph, and Google Gemini.
• Built AI agents supporting tool calling, reasoning, memory management, structured outputs, and multi-step task execution.
• Designed modular LLM architectures using reusable components, prompt templates, configuration management, and structured workflows.
• Implemented LangGraph workflows with state management, conditional routing, and multi-agent collaboration.
• Developed Flask APIs and Streamlit interfaces for AI-powered applications and integrated external APIs and automation tools.
• Worked with Model Context Protocol (MCP) concepts and AI tool integration while applying software engineering practices including Git, modular architecture, documentation, and testing.

AI & Data Science Intern at AI Solutions Company (2024-08 – 2025-06)

• Developed machine learning classification and regression models using Scikit-learn and TensorFlow for real-world client solutions.
• Built ETL pipelines and automated data collection using Python and Selenium, reducing manual data preparation time by approximately 30%.
• Performed data cleaning, preprocessing, feature engineering, model training, and evaluation across end-to-end machine learning workflows.
• Optimized SQL queries for reporting and analytics and developed business dashboards using Tableau and Python visualization libraries.

B.Sc. in Artificial Intelligence & Data Science – Princess Sumaya University for Technology (PSUT) (2022-10 – 2026-08)

IGCSE – Al-Ittihad School (2022)