Luam Totti
Staff Machine Learning Engineer at Nubank
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolLuam Totti is a Staff Machine Learning Engineer based in São Paulo with 12 years of experience building and scaling ML-enabled systems at Nubank, where he progressed from Lead Data Scientist to a staff role focused on end-to-end ML infrastructure. He designs platforms that let data scientists train, deploy, monitor and govern models in realtime—combining hands-on model development in Python and service-layer coding in Clojure with production-grade reliability practices. His background spans research (QCRI, academic publications) and large-scale engineering (media platforms, encoding, and release reliability), giving him a rare blend of production systems, applied ML, and research rigor. Passionate about removing the need for “ML Engineering” as a separate discipline, he focuses on safe, scalable automation and pragmatic optimization of stochastic decision processes to improve business outcomes.
12 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Universidade Federal de Minas Gerais
Github Skills (44)
rio9
dos8
python8
cognitive-services8
azure-cosmos-db7
null-safety7
spark-ml7
tflint7
pyspark7
machine-learning7
que7
data-analysis7
structured-data6
science6
tera6
Programming languages (3)
Github contributions (5)
luamct/BrackeysJam2024.2
Sep 2024 - Sep 2024
Contributions:1 release, 58 pushes, 1 branch in 8 days
luamct/WebSci14
May 2014 - Jun 2014
Contributions:13 commits in 1 month
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