Development
The development team lead reports to me. I set the architecture and review the design decisions that matter.
I am VP, Technology at Think Talent. I lead the development, DevOps and QA teams. I love building new things, and tech is a part of my life.
I have been building technology for leadership and talent assessment for more than 15 years. Today I run technology at Think Talent as VP. The development team lead, the DevOps manager and the QA team lead report to me.
I decide the architecture, set the direction for the teams and own what goes to production. I also stay hands-on. I build full stack solutions: the frontend, the backend, the data and the infrastructure they run on. In the last few years AI has become a big part of that work, and today it is at the centre of the products we build. I am actively involved in it every day, from running models on my own machine to fine-tuning them for a specific job.
I am not looking for a job. I made this page so that anyone who looks me up can see what I know and what I am working on.
The development team lead reports to me. I set the architecture and review the design decisions that matter.
The DevOps manager reports to me. I have dealt with all kinds of AWS scenarios over the years, so I can guide the team from my own experience.
The QA team lead reports to me. I push for automation so that a release does not depend on manual testing.
Platform security is my responsibility as well. Nothing goes live without a review.
These are the things I use in real projects. I have grouped them the way I think about them. As you scroll, the map behind the page turns to the group you are reading.
A big part of my work now. I take it from the first prompt to the evaluation that tells me if it really works.
I work with AI every day, hands-on. I run models locally with Ollama and LM Studio, fine-tune them with Unsloth, and use Claude, Codex, Grok and Google AI Studio. I pick whichever fits the job.
I build and use custom models for different solutions. A ready-made API is not always the right answer.
Java and Spring Boot have been my base for many years. For AI work I mostly use Python and FastAPI. When the same code is needed in many places, I build it as a library.
I build the screens as well. This site is made with Next.js.
AWS is my main cloud and I have dealt with all kinds of AWS scenarios over the years. I also use Azure and Google Cloud for different use cases.
My DevOps manager runs this day to day. I like releases to be boring. Automate it once and stop worrying about it.
Our clients are large enterprises, so security checks are part of every release. I do the code reviews and testing myself as well.
My QA lead runs the team. If a test can be automated, we would rather not do it by hand.
Rebuilding our core assessment products around what AI models can do today. Adding a chatbot on top of the old flow was never going to be enough.
Taking 15 years of assessment methods and turning them into solutions a large company can start using quickly.
Setting up onboarding, delivery and QA so the team can take a project from start to finish on its own.