Published:
Won 🥈 Silver Medal, 13th place, in the Kaggle competition ‘Drawing with LLMs’.
Developed a pipeline to generate high quality SVG images, leveraging Vision-Language Models and FLUX.1 Schnell.
Published:
A Streamlit app that walks through key financial analysis techniques and market concepts.
Includes interative data visualizations and explanations.
Published:
A Visual Question Answering model built on top of PaliGemma for image-based queries.
Won the excellence award from the University of Tokyo’s Matsuo Lab.
Published:
An NLP pipeline to translate and simplify classic Rakugo scripts for learners.
Won the Business award in UTokyo X SoftBank’s Data AI Hackathon 2024.
Published:
A data-engineering pipeline & ML model that predicts a film’s genre from its synopsis.
Presented as the final project for the Le Wagon Data Science Bootcamp.