Rashed Karnoub

Participated in the design and development of an AI-powered image recognition system for an e-commerce platform. Trained and tested computer vision models to classify product images and improve customer experience. Collaborated with the development team to integrate the model into the website backend. Gained practical experience in Python, TensorFlow, and image dataset preprocessing.

Entwicklung und Training maßgeschneiderter, auf Kundendaten basierender Chatbots für sofortigen technischen Support, wodurch wöchentlich 10 Stunden an manuellem Arbeitsaufwand eingespart wurden. Entwicklung semantischer Suchwerkzeuge und deren Integration in Kundenwebsites, was die Genauigkeit der Suchergebnisse um 70 % verbesserte. Prompt-Engineering intelligenter und personalisierter Befehle, um die Übereinstimmung der Chatbot-Antworten mit dem Ton und Stil der jeweiligen Marke sicherzustellen, was zu ein

Taught core and advanced machine learning (regression, neural networks) to 30+ informatics and computer science students. Guided students through end-to-end projects: data collection, preprocessing, model building and accuracy evaluation on real datasets. Set up local and cloud development environments (Jupyter, Python, scikit-learn, TensorFlow) for applied projects.

Vermittlung von Grundlagen und fortgeschrittenen Konzepten des maschinellen Lernens an über 30 Informatikstudenten, mit individueller Anpassung der Lehrmethoden an das jeweilige Niveau (Anfänger bis Fortgeschrittene). Veranschaulichung koScikit-learnretischer Algorithmen (z. B. Regression, neuronale Netze) durch die Übertragung in praxisnahe, verständliche Anwendungsfälle. Fachliche Betreuung der Studenten bei der End-to-End-Projektentwicklung – von der Datenerfassung und Datenvorverarbeitung bis zur Modell

Participated in the design and development of an AI-powered image recognition system for an e-commerce platform. Trained and tested computer vision models to classify product images and improve customer experience. Collaborated with the development team to integrate the model into the website backend. Gained practical experience in Python, TensorFlow, and image dataset preprocessing.

Taught English language classes to middle-school students with family and social challenges. Designed interactive lessons to enhance students’ communication and confidence. Collaborated with local educators and church staff to create supportive learning environments. Enhanced teaching, mentoring, and leadership abilities.

Assisted in organizing recreational and self-care activities for individuals with special needs. Provided emotional support and helped strengthen their communication and cognitive skills. Contributed to community integration programs through teamwork and empathy. Promoted inclusive and respectful engagement within social initiatives.

Focus: artificial intelligence, machine learning, computer vision, NLP, deep learning architectures, data structures and algorithms, software engineering. Thesis: “AI-Powered Poetry Generation using LSTM and Transformer Models”.

Kernbereiche: Künstliche Intelligenz, Maschinelles Lernen, Computer Vision, Natural Language Processing (NLP). Technische Grundlagen: Datenstrukturen & Algorithmen, Softwareentwicklung, Deep-Learning-Architekturenn, Softwareentwicklung, Deep-Learning-Architekturen. Abschlussarbeit: Automatische Ged