I am an AI and Machine Learning Engineer with hands-on industry experience in building scalable, data-driven solutions. Currently, I am completing my Master’s thesis in Artificial Intelligence and Machine Learning at TU Darmstadt. My focus is on Agentic Compositional Spatial Reasoning using Spatial Rules as a Knowledge Bank. I aim to translate complex models into real-world impact within large enterprise environments.

Raghda Ghonema

I am an AI and Machine Learning Engineer with hands-on industry experience in building scalable, data-driven solutions. Currently, I am completing my Master’s thesis in Artificial Intelligence and Machine Learning at TU Darmstadt. My focus is on Agentic Compositional Spatial Reasoning using Spatial Rules as a Knowledge Bank. I aim to translate complex models into real-world impact within large enterprise environments.

Available to hire

I am an AI and Machine Learning Engineer with hands-on industry experience in building scalable, data-driven solutions. Currently, I am completing my Master’s thesis in Artificial Intelligence and Machine Learning at TU Darmstadt. My focus is on Agentic Compositional Spatial Reasoning using Spatial Rules as a Knowledge Bank. I aim to translate complex models into real-world impact within large enterprise environments.

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Skills

Experience Level

Expert

Language

English
Fluent
Arabic
Fluent
German
Intermediate

Work Experience

Supply Chain and Operations Manager at PROCTER & GAMBLE (P&G)
September 1, 2022 - September 1, 2024
Led data-driven demand planning and forecasting for Gulf & Levant markets using large-scale time-series data. Built and deployed a Python-based forecasting customization tool, improving forecast accuracy by 15–25%. Reduced overall forecasting error by approximately 20% through data analysis.
Technical Support Engineer at HIKVISION
August 1, 2021 - January 1, 2022
Integrated and supported AI-enabled CCTV and video analytics systems. Collaborated with cross-functional teams to deploy and troubleshoot AI surveillance solutions and assisted in diagnosing system-level issues.
Deep Learning Researcher at RUHR UNIVERSITY BOCHUM
April 1, 2021 - July 1, 2021
Developed a Generative Adversarial Network (GAN) to generate realistic images from noise in a federated learning setting. Tuned model architectures to improve stability and image quality.
Machine Learning Intern at GERMAN UNIVERSITY IN CAIRO (GUC)
July 1, 2020 - August 1, 2020
Developed and evaluated machine learning models for factory optimization. Performed data cleaning and exploratory analysis on operational data.

Education

Master of AI and ML at TU Darmstadt, Germany
October 1, 2024 - May 1, 2026
B.Sc. in Information Engineering at GUC, Egypt
October 1, 2017 - July 1, 2022

Qualifications

Deep Learning Nanodegree
January 11, 2030 - January 19, 2026
Secure and Private AI (PyTorch)
January 11, 2030 - January 19, 2026
Analyzing Data with Python
January 11, 2030 - January 19, 2026
CCNA (CISCO)
January 11, 2030 - January 19, 2026
AI Analyst Mastery Award (IBM)
January 11, 2030 - January 19, 2026

Industry Experience

Computers & Electronics, Consumer Goods, Education, Software & Internet

Skills

Experience Level

Expert

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