My Kaggle work reflects a mix of curiosity and long‑standing interest in computer science. I’ve spent a lot of time exploring different programming languages, including Python, C, C++, and PHP/MySQL, and I enjoy applying them to data‑focused problems. Much of my background involves data science, parallel computing, and algorithmic thinking, and I’ve worked with tools like Apache Spark for handling larger datasets.
I’ve also been learning more about artificial intelligence, especially neural networks and modern language models. I’m still building my understanding in these areas, but I enjoy studying how these systems behave and how they can be used in practical settings. My interests tend to fall at the intersection of data, high‑performance computing, and intelligent systems, and Kaggle gives me a place to experiment with those ideas.
Outside of data and AI, I’ve spent many years working with web technologies and content management systems. Drupal has been a consistent part of that work, from early versions through Drupal 10, and it continues to influence how I think about software structure and design.
Kaggle is one of the places where I try to bring these interests together, learn from others, and keep improving my skills at a steady pace.
