Darlan Farias
Staff Machine Learning Engineer at Nubank
São Paulo, Brazil
Summary
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Rockstar🎓
Top SchoolDarlan Farias is a Staff Machine Learning Engineer based in São Paulo with a decade of experience building platforms that make model training, evaluation, deployment and monitoring faster and safer. He combines strong software engineering discipline with functional-programming fluency (Clojure/Scala) and pragmatic Python skills to scale ML systems in production using Docker, Kubernetes and SQL. At Nubank he progressed from MLE to lead and now staff engineer, designing tooling and processes that democratize access to data and accelerate value generation across teams. He has led data infrastructure reformulations and introduced modern analytics tooling and engineering practices at startups like Sallve, blending hands-on implementation with people leadership and mentorship. An early researcher and UI tinkerer (multi-touch geometry apps and annotation tools) he brings an atypical mix of HCI sensibility to ML platform design.
11 years of coding experience
8 years of employment as a software developer
Exchange Visitor Computer Science, Exchange Visitor Computer Science at Indiana University BloomingtonBachelors Degree Computer Science, Bachelors Degree Computer Science at USP - Universidade de São PauloNanodegree Machine Learning Engineering, Nanodegree Machine Learning Engineering at Udacity
Portuguese, English, French, Spanish
Github Skills (28)
aws9
azure8
python8
ai8
machine-learning8
gcp8
cost-optimization8
data-science7
kubernetes7
distributed-training7
llmops7
llm7
model-management7
generative-ai7
mlops7
Programming languages (3)
Github contributions (5)
darlansf1/OpinionMeter
Jul 2016 - Jan 2022
Contributions:14 commits, 9 pushes, 4 branches in 5 years 6 months
darlansf1/rotulabic
Jun 2016 - Jan 2018
Contributions:8 pushes, 1 branch in 1 year 7 months
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