Luiz Cavalcanti
Squad Lead at Magalu Cloud
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolLuiz Cavalcanti is a seasoned software leader with 12 years of hands-on experience in backend development, release engineering and delivery transformation, currently leading a release engineering squad at Magalu Cloud in São Paulo. He has shepherded delivery pipelines, shift-left quality practices and observability across diverse domains—from banking and streaming media at ThoughtWorks to cloud services and legacy modernizations at Locaweb. A pragmatic polyglot (Python, Java, Ruby) who still dives into code, Luiz pairs technical execution with stakeholder-facing consulting and roadmap planning. His earlier work in image processing, computer vision and ML (contributions to the well-known Serenata de Amor project) gives him an unusual mix of research-grade data skills and production engineering rigor. Colleagues know him for refactoring messy systems into independently deployable, observable services and for quietly optimizing pipelines for efficiency and reliability.
12 years of coding experience
14 years of employment as a software developer
Specialist, Web technologies, Specialist, Web technologies at Universidade Regional de BlumenauMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidade Federal do AmazonasAssociates Degree, Information Technology, Associates Degree, Information Technology at Instituto Federal de Alagoas
English, Portuguese
Stackoverflow
243reputation
49kreached
9answers
0questions
Github Skills (17)
python10
data-science10
pandas10
data-analysis10
data-pipelines9
machine-learning9
data-pipeline9
open-data8
artificial-intelligence8
e-mail6
heroku6
android6
nokia6
javame6
spring6
Programming languages (13)
Github contributions (5)
okfn-brasil/serenata-de-amor
Mar 2017 - May 2017
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
Role in this project:
Data Scientist
Data ScientistContributions:8 commits, 4 PRs, 1 comment in 2 months
Contributions summary:Luiz Carlos Cavalcanti primarily focused on improving the existing machine learning models and data processing pipelines within the repository. His contributions included optimizing code for efficiency, such as removing unnecessary data copies in classifiers. He also worked on validating data migrations and updating the project's data ingestion process, specifically by integrating data downloads from S3. Furthermore, he contributed to a notebook to compare different versions of datasets.
civic-techdata-scienceadministrationpoliticsartificial
luizcavalcanti/cavalcanti.info
Oct 2016 - Dec 2024
Personal website
Contributions:4 PRs, 36 pushes, 5 branches in 8 years 3 months
reactnextjs
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