
I began my career as a software engineer in 2019 and joined CADDi in 2022. Leveraging both backend engineering expertise and knowledge of machine learning, I led quality improvements to the drawing search infrastructure and reduced search latency to less than one tenth of its previous level. I currently serves as a tech lead, broadly leading the development and operation of the search experience, including UI and UX.
I joined CADDi through a referral from a former colleague. Even before that, I had been interested in CADDi for two reasons: it was creating real business value by applying machine learning, and it was building with Rust. Around that time, I was invited to have a casual conversation with the CTO so I could get to know the company better. Through that conversation, my interest deepened even further, especially in the challenge of effectively connecting the field of information science—particularly machine learning—with the realities of manufacturing to create value. The compensation was also a good fit, so I decided to join. Now, two years later, I feel every day that I am growing while working at the intersection of information science and manufacturing to create real-world value.
As a leader with deep knowledge of search technology, I use that expertise to identify product issues and solve them. I also share knowledge about search technology with team members so they can focus on solving problems more effectively. More recently, I have been expanding beyond search itself to explore and implement new forms of value that can be created by leveraging drawings and the surrounding information assets. Communication challenges in manufacturing are particularly significant, and I believe that what we are working on can make the entire industry more productive. Going forward, I want to keep addressing these challenges through search and other feature development.