$whoami
nuxyel
renan vinícius. I write software, and now I write about it too.
AI, backend, infra, rants. two languages, one blog.
$
$ls ~/projects
sauim/
$cat sauim/README.md
# sauim
a startup is growing here.
what[redacted]whensoon™
$tail -f sauim/build.log
[ok] name chosen
[··] building
$ ls -t ~/posts | head -4
The Plan
a record of the why, the how, and the hour-cost of a five-stage study track to become a real AI/ML Engineer
learning NLP without a solid DSA foundation (and paying for it)
I started my AI Engineering track with NLP and found out the hard way that without data structures and algorithms I was just memorizing spaCy method calls
joining SITA
new team at sidia, same thread my whole career has been pulling
career: there is no silver bullet
The long answer to the question I get every week in my DMs: which field to pick, how to study, and which platform is best. Spoiler: it depends, and that is not laziness on my part.