Generative AI • LLM Engineer • ICPC World Finalist
Nomadic Developer, working remotely from anywhere!

I’m a Generative AI and LLM Engineer with hands-on experience building advanced AI applications, from Large Language Models to autonomous agent workflows. My background spans Machine Learning, Deep Learning, NLP, and Computational Research, including competitive programming at the ICPC World Finals level.

• 🔭 Currently: Working on enterprise-level LLM Agents (private, NASDAQ-listed company)
• 🌱 Exploring: Generative AI, LangChain, and advanced NLP pipeline automation
• 👯 Open to Collaborate: On LLM projects, prompt engineering, and LangChain libraries
• 🤝 Looking for Help: Best practices in advanced LLM evaluation, safety, and prompt optimization
• 📝 Writing: I share articles on Medium about Generative AI and developer tips
• 👨‍💻 All Projects: View them on my GitHub profile

• ICPC World Finalist (2023): Placed among the top 2% of competitive programmers worldwide
• Open Source Contributions:
  • LangChain (HTMLTextHeaderSplitter enhancements)
  • python-pptx-text-replacer (Extended functionality for master slides)
• Academic Excellence: Graduated First Class Honours; Valedictorian of AI specialization
• Best Research & Design Award (2023): For AI-based projects at the British University in Egypt

1. LLM Agent Data Analyst

   • Built an agentic workflow (with Langgraph) that analyzes and creates reports on enterprise-scale data
   • Integrated RBAC security layers for safe database interactions
   • Generates full business reports with visualizations automatically

2. Adversarial Text-to-Image Synthesis (Graduation Project)

   • Achieved FID: 95 and Inception Score (IS): 3.09 through advanced GAN + NLP synergy
   • Implemented Instance Selection to reduce training time by 20%

3. Autonomous LangChain Legal PDF Summarizer

   • Developed an agent that analyzes and summarizes lengthy legal documents into structured JSON format
   • Integrated correctness and safety evaluations for reliable LLM outputs

• LangChain Development: Building custom LLM pipelines, RAG solutions, and autonomous agents
• Generative AI: Experimentation with text-to-image, text-to-text transformations, and cutting-edge model architectures
• Machine Learning: Traditional statistical models to advanced neural networks (PyTorch, TensorFlow, scikit-learn)
• Research & Teaching: Part-time Teaching Assistant, focusing on Neural Networks and Machine Learning labs

Looking to discuss AI or collaborate on cutting-edge LLM projects? Feel free to reach out or connect on LinkedIn.