I am a computer science student focused on machine learning, deep learning, and artificial intelligence research. I enjoy transforming data into intelligent systems and exploring how modern AI models can be applied to meaningful, real-world problems.
My interests include neural networks, natural language processing, large language models, reinforcement learning, computer vision, and graph-based machine learning. I am especially interested in understanding how models learn, evaluating their performance, and improving their reliability, efficiency, and practical usefulness.
Alongside research-oriented work, I am building the engineering skills needed to develop industry-ready machine learning systems. This includes data preprocessing, feature engineering, model training, experimentation, evaluation, API development, containerization, and deploying AI-powered applications.