What I’m doing at Relevance AI
I’m a software engineer at Relevance AI. My primary role is to create and maintain the Relevance AI API. The API’s objective is to allow anyone in the world to give commands to us about how we should search and cluster their data so that they can develop whatever tools they require.
My career journey to Relevance AI
At UNSW, I majored in computer science with a concentration on security, low-level programming, and algorithms. While doing my honours thesis, I was working full-time as a Software Engineer for another company, but decided to work on my thesis full time. Jacky Wong was a good buddy of mine (member of the founding team). Through him, I was introduced to Relevance AI, where I began working part-time. After finishing my thesis, I went full-time into software engineering at Relevance, where I maintain the API now.
What I’m most excited about working at Relevance AI
I’m most thrilled about the products’ applications, which are good things we offer in terms of helping people perform their jobs faster by getting information faster, so it’s a net positive. I’m interested in the tools we provide, such as clustering, which many companies don’t use and which we make really simple to set up. There’s a lot of potential to empower people by giving them tools they don’t have yet.
What my average day at Relevance AI looks like
I normally get up between 8 and 9 a.m. and go surfing. After that, I get to work and look for any urgent jobs that have arisen as a result of any detected defects or critical features. For the remainder of the day I go down my list of priorities. To stay on track, I make it a point to complete one major task per day.
What I do outside of work
When I have free time, I go surfing to unwind and play a lot of multiplayer video games.