I'm passionate about machine learning, mathematics, and building things with Python. I enjoy understanding how models work, experimenting with different approaches, and figuring out what actually improves their performance.
I take part in Kaggle competitions, often working in a team to test ideas and solve challenging ML problems. I've also worked on research projects, including AcademicNet, and I'm exploring LLM serving and inference optimization to make models faster and more efficient.
Outside of tech, I enjoy hiking, getting lost in Tolkien's world, making papercraft models, and sketching whatever comes to mind.