Machine Learning Career Advice
2026 is the year of agency, but not the one you think
What to do to get into ML into 2026
My take on negotiating offers
Changing orgs in big tech: your lever for personal growth
Become a research scientist for a day
The most overloaded role: "Machine learning engineer"
MLE/Backend/Frontend vs Product/Infra
No longer postmortem free
7 hard learned lessons about SWE career
Scaling your impact: lessons learned from 1000 pull requests and 100k lines of code
My personal blueprint to get up and running fast when joining a new company
Why Data Science projects fail
150 Successful ML models: lessons learned @ Booking.com
