Radwa Mohamed

AI Engineer skilled in ML/DL, Computer Vision, and LLM orchestration. Proficient across the AI lifecycle, including data preprocessing, model training, and evaluation to build practical, real-world solutions.

Agentic AI Developer at National Telecommunication Institute (2026-01 – Present)

Designed to translate complex LLM research into production-ready Agentic AI. This program focuses on the end-to-end implementation of Multi-Agent Systems, RAG, and tool integration, empowering engineers to build autonomous workflows that solve high-impact, real-world challenges.

Machine Learning at National Telecommunication Institute (2026-01 – Present)

Developed skills in data preprocessing and exploration to clean and transform raw data. Applied machine learning to real-world data analysis to build predictive models and generate actionable insights. Gained proficiency in machine learning tools and libraries such as scikit-learn, pandas, and NumPy.

Generative & Agentic AI at Digital Egypt Pioneers Initiative – DEPI (2025-01 – Present)

An intensive specialization focused on building, orchestrating, and deploying practical applications using Large Language Models (LLMs) and autonomous AI agents, covering key concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), agent architectures, tool integration, vector databases, memory management, and LLM deployment pipelines.

AI Intern at Huawei (2024-08 – 2024-08)

Trained in ML/DL, computer vision, and AI solution design.

Avionics Trainee at EGYPTAIR (2024-08 – 2024-08)

Experience with aircraft electronic systems and diagnostics.

IoT Technical Training at Don Bosco (2023-09 – 2023-09)

Built IoT sensor networks and programmed microcontrollers (C/C++). Enhanced problem-solving and Analytical Thinking.

Bachelor's degree in Computer and Control Engineering – ALShrouk Academy Department of Communications and Computer Engineering (2020-01 – 2025-12)