This is part of a series of blog posts featuring some of the amazing talent we have working on the technology behind Infinitus.
This week, we’re excited to be featuring Diana Jung. Diana has been focused on automation tools at Infinitus. She has been rethinking how data labeling tools in the conversational AI world should be built.
Why did you choose to join Infinitus?
I was looking for a small company with a big vision. With a small but strong team, Infinitus turned out to be just what I was looking for. I am able to make big impacts and also be working with cutting edge technology.
What are you working on right now?
Most recently, I’ve been working on a conversational agent that talks to the agent that we offer our customers. The goal is to use this agent to dramatically improve our product by enabling reinforcement learning and conversational agent self-play. We’ll also use the interactions between these two agents to produce realistic data sets to train our data labeling and QA teams, ensuring high quality results for all of our customers.
What is the favorite part about working for Infinitus?
The people. Even though the company has been remote since I’ve joined, I’ve enjoyed exploring the different domains and expertise brought by my teammates. Our biweekly virtual stretch sessions are very often the highlight of my work week.
What are 3 words to describe Infinitus?
Driven, innovative, and diverse.
What advice do you have for prospective Infinitus candidates?
It’s a very exciting time to be a part of the Infinitus team. I’d tell people interested in joining us to dive in and start learning about our vision for the future of the conversational AI and human-machine interaction space.
What’s something you are passionate about outside of work?
I love to travel. I’m an avid outdoors person (hiking, biking, running, climbing, etc.) and love to explore new places. I love animals, and plan on adopting a dog and a cat in the near future. I also love to cook and have a passion for food – I’m always looking for new cuisines to try.