I'm an Artificial Intelligence Engineering student expected to graduate next year, with 3+ years of hands-on experience in learning and building Artificial Intelligence, Machine Learning, and Deep Learning solutions through academic projects, technical training, and self-directed practice. My main focus is Computer Vision, Medical AI, and Intelligent Systems, where I enjoy turning complex ideas into practical applications. I have worked on end-to-end AI projects, covering the complete development pipeline from data collection and preprocessing to model development, evaluation, optimization, deployment, and documentation. One of my key projects is a deep learning system for lung and colon cancer histopathological image classification, which achieved high performance and was deployed using Streamlit for real-time predictions. I believe that successful AI solutions combine technical accuracy with clean implementation, clear communication, and continuous improvement. I'm always looking for challenging projects where I can apply my skills while expanding my knowledge of modern AI technologies. Technical Skills Core Skills Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) Computer Vision Medical Image Classification Python TensorFlow & Keras OpenCV CNN & Transfer Learning Data Preprocessing & Augmentation Model Training & Evaluation Hyperparameter Tuning Streamlit Git & GitHub Problem Solving