👋 Hi, I’m Shahd Elmahallawy

✨ About Me

I’m a Ph.D. student in Computer Science at University of California, Riverside, advised by Prof. Ahmed Eldawy. My research focuses on spatial data systems, large-scale data management, and the intersection of databases and AI. I explore how large language models (LLMs) and multimodal data can advance geospatial applications and intelligent systems.

🎓 Academic Background

• University of California, Riverside (2025–Present): Ph.D. in Computer Science
• The American University in Cairo (2020–2025): B.Sc. in Computer Engineering, Double Minor in Business & Mathematics, Graduated with High Honors
• Portland State University (2023): Exchange Program

🚀 Projects

• Undergraduate Thesis: Developed a speech generation system integrating ASR, LLM, and TTS technologies, improved rare-name recognition, and optimized LLaMA, Gemma, and Mistral models for natural, human-like conversational output.

💼 Experience Highlights

• GenAI Engineer @ EnergyAI.Berlin (Jul 2025 – Sep 2025): Designed multi-agent LLM systems using Google ADK, created custom tool integrations, and developed backend logic enabling agent orchestration for intelligent energy-planning applications.
• Backend Intern @ Thndr (Aug 2024 – Sep 2024): Helped build and maintain large-scale fintech backend systems serving over 3 million users.
• Backend Intern @ Paymob (Jun 2024 – Jul 2024): Enhanced payment APIs using Python and Django REST Framework.
• Undergraduate Teaching Assistant @ The American University in Cairo (Sep 2023 – Dec 2023): Supported CS1 students through hands-on programming instruction.

📄 Download Full Resume

📚 Publications

📬 Contact

• 📧 selma008@ucr.edu
• 🔗 LinkedIn