Yes, I'd love to. So, my background is technical. And I started my first business when I was in school, it was a web development agency. And we weren't even like a contract from an [not clear] subsidiary when I was 18, which was way over our heads. And I then went on to study computer science.
And did like different stints at different universities like in Germany, also went to Carnegie Mellon University in the US to do some research there. And then at the end, I've worked very deep in research, actually, I've worked on speech recognition research, and I worked on Chinese-English switching speech recogniser at the university in Singapore. Which was very exciting was like very high tech machine learning. It was like over 10 years ago. So it's been quite a while now.
And after that, my first job was at Goldman Sachs working in derivatives. And then I quickly moved into commodity trading and work in oil trading. And then in chemical, fertiliser, trading financial and physical.
So I went basic, like from super cutting-edge high tech research to super low tech, but loads of money (people buying like chemical fertiliser, like for $10 million on a farm in Kansas, if it's starting to rain). It's like two very different experiences, but very good preparation for my experience as a founder.
And after the work in commodity trading, I started my startup, together with my co-founder. Right now I'm the CTO of Shipamax. We raised our series A last year and grew, the team last year from like, 13 people to 26 people.
Right now I have three teams. I have the web engineering team, which is quite cool. It's like people like from Google, from Facebook. They built like APIs, ERP integrations. And then, of course, like a product management team. The head of product, he's very, very great, also like a product manager. And of course, the data science and machine learning team, which is also it's like super talented, people with PhDs in computer vision, machine learning, and 5-10-15 years of experience post PhD. We also have a junior from Cambridge, but overall quite a mature team.
What we do right now is we automate data entry for logistics companies. Logistics companies, they get a lot of like documents for shipments. Think of a container with electronics getting loaded in China on a truck, on a train, in a warehouse, on a container ship, on an airplane, and you get documents, bills of lading, this has been loaded or this has arrived, can you take this container from the warehouse, can you pay for the truck, can you use this documentation to fill out the Brexit customs declarations. Right now we're like super busy because of Brexit, actually.
And we automatically read this documents, we get the emails from the customers, we extract the emails and the attachments. And then we automatically extract the data and make the results available by API integration.
I guess like one thing, which is interesting about us, is we really focus on offering an end-to-end solution for the customers. For example, companies like UiPath they do one bit, but we offer the whole platform. Getting the data, training the model, and automating, extracting everything, specialising on logistics, language and context. I mean, also integrating into the ERP systems, but also having some kind of exception manager with UI. It's very comprehensive for logistics. And then also, we raised a good amount of money, which also quite cool.