About Me
As a Full Stack Engineer and Computer Science student at King Faisal University, I specialize in building scalable, AI enhanced web applications using modern frameworks like React.js, Next.js, and Python. My background includes developing secure backends with ORM databases, deploying full-stack projects to production, and creating dynamic user interfaces with Tailwind CSS. I bring strong experience in integrating Generative AI into applications—ranging from content creation tools to sentiment analysis systems—bridging cutting-edge technology with real-world use cases. Backed by certifications in Python, Data Analysis, and Machine Learning, I am driven by continuous learning and a passion for solving complex problems through innovative software solutions.
Key Technologies & Skills
Project Highlights
Full-Stack Arabic Blogging Platform
Built a feature-rich blog platform using TypeScript, React, Next.js, and Prisma, with a responsive UI via TailwindCSS and shadcn/ui. Integrated TipTap for rich text editing, Clerk for secure authentication, and media handling using AWS SDK and DigitalOcean Spaces. Containerized the application with Docker for scalable deployment.
Medical AI Assistant
Developed a bilingual Flask web app to analyze interactions between Warfarin and user-inputted foods, herbs, or medications using fine-tuned GPT-4o for image inputs and Whisper API for speech-to-text. Styled with Bootstrap 5, and deployed using Gunicorn on Heroku with multilingual and multimodal input support.
IoT Baby Monitoring System
Engineered a full-stack IoT baby care solution integrating ESP32 sensors, a FastAPI backend with deep learning cry analysis (CNN), and a Flutter mobile app for real-time vitals, sleep tracking, and AI-assisted parenting via the OpenAI API. Applied clean architecture and multilingual support across the app.