Founder of Lumeria and AI Engineer with 5+ years of hands-on experience specializing in Generative AI, Agentic AI, NLP, and RAG systems. Skilled in developing intelligent AI agents, building scalable AI applications, and deploying production-ready solutions that solve real-world business challenges. Passionate about leveraging cutting-edge AI technologies to drive innovation, automation, and business impact.
A production AI travel experience built to make Egypt's culture, landmarks, and history more personal and immersive.
Designed, developed, and launched Lumeria, an AI-powered tourism platform that transforms how travelers discover and experience Egypt. Combining personalized destination recommendations, computer vision for landmark recognition, a RAG-powered AI assistant for historical and tourism information, and immersive AR/3D experiences, Lumeria makes cultural exploration more interactive, accessible, and personalized. Published on Google Play, the platform demonstrates the practical application of AI to real-world tourism challenges while establishing a foundation for product growth, user engagement, and future tourism partnerships.
Product Launch & Market Validation: Published Lumeria on Google Play and surpassed 100 downloads, establishing initial market traction.
AI-Powered Travel Personalization: Developed recommendation systems that help travelers discover destinations aligned with their interests.
RAG-Powered Tourism Assistant: Built an AI chatbot that provides contextual answers about Egyptian history, landmarks, and tourism information.
Computer Vision Integration: Enabled landmark and historical figure recognition to make cultural discovery more interactive.
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Built a RAG-powered customer support chatbot using Google Gemini and LangChain to provide context-aware answers from scraped company data. Engineered an automated text-embedding pipeline with ChromaDB and deployed via FastAPI, reducing query latency to under 2 seconds.
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Developed a Flet desktop application for bi-directional semantic matching using all-MiniLM-L6-v2 and Cosine Similarity, improving precision by 35%. Engineered a custom spaCy NER pipeline to dynamically extract core skills from PyMuPDF-parsed resumes with 95%+ accuracy.
Developed X Bot, a custom AI-driven desktop application to automate content creation and manage X (Twitter) posting schedules, saving clients 10+ hours of manual work per week. Integrated the OpenAI API to generate engaging, context-aware content based on targeted prompts and engineered backend systems for state persistence, reducing API latency by 20%. Built a responsive, cross-platform graphical user interface (GUI) using Python and Flet.
Fine-tuned a BERT model for sentiment analysis classifying comments as Positive or Negative with 91.66% accuracy. Engineered an NLP preprocessing pipeline with NLTK optimizing a 500K+ dataset, deployed as a scalable FastAPI backend.
Fine-tuned a pre-trained MobileNet V2 model using transfer learning to classify plant diseases in bean leaves across 3 categories. Engineered a custom classification head with batch normalization and dropout, achieving 90.23% validation accuracy.
Engineered a hybrid machine learning pipeline applying K-Means Clustering to identify distinct user segments, paired with a Random Forest classifier to predict cluster labels based on usage patterns with a 98.88% accuracy rate.
Available for freelance contracts, custom AI/ML development, and FastAPI backend architecture.
Custom LLMs, RAG pipelines, FastAPI backends & end-to-end ML solutions.
View professional profileProduction AI systems, NLP models, and cross-platform app development.
View professional profileCustom AI bots, desktop GUI apps (Flet), and API integrations.
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Original client feedback is displayed in the review screenshot above.
Applied AI experience across product development, research, internships, and client delivery.
A structured view of the technologies I use to take AI products from idea to production.
Architecting context-aware RAG systems, LLM-powered agents, and high-precision NLP pipelines for enterprise workflows.
Designing, training, and fine-tuning robust neural networks and predictive models optimized for real-world accuracy.
Building high-performance REST APIs, structured database systems, and seamless cross-platform user interfaces.
Streamlining end-to-end model deployment, containerization, and automated developer workflows for scalable production environments.
ISEIC
Cairo View certificateITA SDGs
Damietta View certificateInformation Technology Competition
New Administrative Capital View certificateMicrosoft & DEPI
Egypt View certificateMicrosoft & DEPI
Egypt View certificateBerlitz & DEPI
Egypt View certificateElevvo Pathways Company
Egypt View certificateSEG Company
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