Experiments, tools, and systems shaped by curiosity, constraints, and practical engineering.
A personal portfolio website showcasing my skills, projects, experience, and journey as a Computer Engineering student. Built with a focus on clean design, responsive UI, and a simple developer-focused experience. It brings my work together in one place so recruiters and collaborators can quickly see what I build and how I’ve grown.
An image classification project built with TensorFlow and Keras, using a neural network trained on the Fashion MNIST dataset (70,000 grayscale images across 10 apparel classes). Includes data normalization, model training, performance evaluation, and prediction visualization.
An AI-powered document assistant that lets users upload multiple PDFs and ask questions about their contents using Retrieval-Augmented Generation (RAG), vector embeddings, and Gemini. Features contextual answers with document citations.