Yuya Osujo
Career Summary
As a Kaggle Grandmaster, I joined CADDi in November 2022 after working at Stockmark and DMM.com. I initially worked as an ML engineer on drawing analysis. From July 2023, I also took on MLOps responsibilities, building a retraining platform for continuously updating ML models. In September 2024, I returned to a dedicated MLE role and, through September 2025, worked on PoCs and product integration for LLM-based drawing analysis systems and RAG systems. After taking six months of parental leave, I am now developing AI agents to solve customer challenges.
Why I Joined
I first came to know CADDi as an energetic and somewhat mysterious startup, where Kaggle acquaintances of mine kept joining one after another—something I noticed on Twitter. As I became involved through casual conversations and contract work, I was increasingly drawn to both the strength of the AI Lab team and the manufacturing domain itself—a vast field where machine learning has not yet been fully applied. The challenge of applying machine learning to unstructured data such as drawings is highly demanding, but that is exactly what makes it rewarding. Including the MLOps work I have taken on in parallel, I have been able to work across a wide range of ML technologies while staying focused on solving real customer problems, and I genuinely enjoy that every day.
Role at CADDi
I first joined CADDi in 2022 as a contractor and later became a full-time member of AI Lab. I was assigned to the business unit developing what was then CADDi Drawer and joined the drawing analysis team as an ML engineer. From 2023, I also worked with the MLOps team. In 2024, I returned to a dedicated MLE role and have been focused on solving customer problems through areas such as applying LLMs in products, developing RAG systems, and building AI agents.
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