Hadi Alqthami

Computer Science graduate with a strong foundation in software development, programming, and problem-solving. Passionate about learning new technologies and building efficient software solutions. A quick learner with strong analytical and teamwork skills, seeking an opportunity to contribute and grow in a professional environment.

Technologies: Python, Flask, SQLAlchemy, SQLite, TensorFlow, Scikit-learn

Developed an AI-powered IT helpdesk platform to automate ticket management, monitor printers and devices, predict ink depletion, and generate intelligent troubleshooting responses. Built a secure web application with user authentication, dashboards, and database integration to improve IT support efficiency.

Technologies: Python, TensorFlow, CNN, MobileNetV2, ResNet50, VGG16, DenseNet121

Developed a deep learning system for pneumonia detection from chest X-ray images using Convolutional Neural Networks and transfer learning. Applied image preprocessing, data augmentation, model evaluation, and performance comparison across multiple pretrained models to improve diagnostic accuracy.

Technologies: Python, LLaMA 3.1, Ollama, NLP, YouTube Data API

Built an AI-powered application that collects YouTube comments and analyzes sentiment and user intent using Large Language Models. Designed an end-to-end pipeline including data collection, preprocessing, fine-tuning, evaluation, and visualization to provide actionable insights from audience feedback.