This week we want you to meet Johanna, the Head of Artificial Intelligence at Orbisk. She works on creating models that can identify automatically how much of which food our customers throw away. Besides, she is making sure we are able to scale up with as many customers as we can have without a large increase in manual labour. Johanna actually does enjoy practicing manual labour when she takes the time to cook and eat with her friends. What food represents means more to her than how it tastes.
“I chose to work at Orbisk because initially I was looking for a job in The Netherlands. I have worked in Germany before, but then I decided to stay here longer, motivating me to look for a job here. I found this job and liked it, because I can work for a small, core team and I really liked the atmosphere. It’s not stiff and there is the additional benefit that it’s actually good for the world. That never hurts. I felt like this job would fit me and I could really help with what I can do. “
“I think I’m mainly motivated by the challenge for AI and the complexity of the problem rather than the means of what it is. I really love the AI problem at Orbisk. The fact that it is a growing company, brings so many additional challenges, opportunities and things to look at. I don’t only have a core task, but I get to do and think and it really makes sense to look at the big picture. All the processes are still developing. I am actually enjoying that it is never only about solving one single task. It is always about growing the company, scaling and enabling. “
"I think you should always give things a chance and take a close look before judging something based on its shell. "
It’s multifold. When I started I thought we had to create an AI to solve this image recognition problem. But it is actually so much more. There are so many more ways of solving the problem of making the company scalable than just through the AI. There are so many options of getting the company where it needs to go that it makes a lot of fun to make all these components interact. Eventually, it will get where it needs to be. I enjoy the randomness of things and mean that in the most positive sense of the word.
"If you deep dive everything can be interesting. I have worked on problems that when you look at them from a very broad level or first hear about them, they seem like a big snoozefest. If you give things a chance to really look into them and understand all the different components and whereabouts, then that is where it becomes interesting. I think you should always give things a chance and take a close look before judging something based on its shell."