Daniel Cavalli
Senior Machine Learning Engineer at Nubank
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolDaniel Cavalli is a Senior Machine Learning Engineer with 12 years of experience building production-grade MLOps and ML infrastructure, currently leading Nubank’s AI Platform that serves 150+ data scientists and engineers. He bridges applied ML and distributed systems, cutting large-model training from 21 days to 3 and shrinking iteration times to under 2 minutes through multi-cluster, multi-GPU optimizations. Daniel has driven greenfield platform migrations and upgrades—replacing legacy tooling with Pulumi-based IaC and moving Kubeflow stacks to open-standard manifests—while designing geo-agnostic frameworks that enabled international expansion. Previously at PicPay and M4U he built scalable real-time deployment pipelines and anti-fraud systems that materially reduced losses and accelerated delivery cadence. Based in Rio de Janeiro, he combines an economics background with software engineering training, giving him a pragmatic product-focused perspective on ML infrastructure and fintech use cases.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Economics - BBA, Economics, Bachelor of Economics - BBA, Economics at Federal University of Rio de JaneiroAssociate degree in Game Development and Software Engineering, Computer Software Engineering, Associate degree in Game Development and Software Engineering, Computer Software Engineering at Nucleo Avançado em Educação - NAVE
Portuguese, English
Github Skills (12)
opengl9
android9
linux9
embedded9
webassembly8
raylib8
videogames8
game-development8
game-engine7
iot7
raspberry-pi7
docker2
Programming languages (2)
Github contributions (5)
defce74/lemurLiveSet
Jun 2014 - Jul 2016
Contributions:11 commits, 1 push in 2 years 1 month
defce74/defce74.github.io
Oct 2016 - Aug 2018
Contributions:4 pushes, 1 branch in 1 year 9 months
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