From using AI to operating with AI: What changes in product management when the bottlenecks disappear
How a Lead Product Manager at Nubank turned problem definition into her main tool for working with AI agents, and why judgment stays with the PM
Beyond the dashboard: What I learned about data without an analytical background
How moving from manufacturing engineering into a senior business analyst role taught me that SQL and Scala can be learned quickly, and that the real work starts with "so what?"
From support to root cause: what a CX person really does at Nubank
Why solving the customer's case is only half the job, and how data and artificial intelligence help solve the other half.
The code was the easy part: Lessons from contributing to the Clojure language
What two Clojure core contributions taught me about debugging, compatibility, and making technical reasoning understandable to others.
Squeezing ~2× MFU out of our training runs
How attention-kernel selection, compiler integration, and optimizer implementation shape Transformer model training speed
Feature stores in real-time ML, part 3: Examples from Nubank
Written by: Felipe Almeida, with contributions from Luiz Felix, Vívian Miranda, Lucas Nolasco, and Caroline Custodio. This is part 3 of a 3-part series on Feature Stores for Real-time ML. View part 1 and part 2. Quick recap and introduction In part 1 of this series we described what feature stores are and why they […]
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