How it started
On 12th March 2012, I walked into Sapient Global Markets. That's the day my career began — building automation for a Front Office trading app used by one of the largest US investment firms.
For five years, I tested fixed income systems — bonds, MBS, swaps, futures. I could break the software in interesting ways. What I couldn't do was explain why any of those products existed. That gap started to bother me.
The first pivot
So I moved seats. Same team, new role: Business Analyst. Two years working on bonds and futures strategies, plus MIFID 2 on the FIX protocol. I stopped testing what was built and started deciding what should be built. That changed how I think about software forever.
Going deeper
At PureSoftware, I served a leading Danish fintech — title BA, work was Product Owner. I led the Global KID project (a bank-wide MIFID-2 change), plus back-office and middle-office tracks. Today at EY, I work with one of the largest US wealth management firms — same pattern. (Full project list on my resume.)
Where I'm headed
Fourteen years in. Three global financial institutions. One consistent realization: the hardest part of building software isn't writing it — it's understanding the real problem and aligning people who don't always agree.
That's product thinking. And it's exactly what AI products need right now.
So I'm pivoting again, this time into AI Product Management. Microsoft-certified in Azure AI Fundamentals, building real things with Claude (this site's AI assistant is one), and documenting the journey on the blog.
I'm not new to tech. B.Tech in CS, Oracle SQL certified, CFA Level 1. What I'm adding is fluency in the AI craft itself.
