Felipe Almeida
Lead Machine Learning Engineer at Nubank
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolFelipe Almeida is a Lead Machine Learning Engineer based in São Paulo with 11 years of experience building end-to-end data products that bridge research and production. He combines deep theoretical curiosity with pragmatic engineering, drawing on a full-stack background in PHP and Scala, plus production ML and data engineering using Python, Spark, and AWS. At Nubank he leads ML systems work, having previously designed streaming and batch pipelines and consulted on data science projects. Comfortable across backend APIs, distributed systems and model deployment, he excels at turning experimental ideas into reliable, scalable services. Outside work he documents his thinking and code—maintaining a technical site, GitHub and SlideShare—signalizing a habit of clear communication and reproducible engineering.
11 years of coding experience
9 years of employment as a software developer
High School, High School at Wimbledon CollegeBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Universidade Federal do Rio de JaneiroHigh School, High School at Colégio Militar do Rio de Janeiro
Portuguese, English, German, Russian
Github Skills (200)
notebook10
python10
deep-learning10
clustering10
reactive10
scikit10
data-engineering10
ml10
neural-network10
computer-vision10
jax10
scikit-multilearn10
spark10
jvm10
helper-methods10
Programming languages (14)
Github contributions (5)
queirozfcom/python-ds-util
Jul 2018 - Oct 2021
Collection of useful helper methods for interactive data science work in python. Usually on jupuyter notebooks, using the basic python scientific stack.
Contributions:1 release, 49 commits, 2 PRs in 3 years 4 months
data-sciencehelper-methodspython
queirozfcom/sublime-text-config
Feb 2016 - Jun 2025
Contributions:48 pushes, 1 branch, 1 issue in 9 years 5 months
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