Laura Couto

Software Enginer II at QuantumBlack, AI by McKinsey

São Paulo, Brazil
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Summary

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Laura Couto is a software engineer with six years of experience blending data engineering, game design and interactive media. Currently a Software Engineer II at QuantumBlack (McKinsey), she contributes to production-ready data science tooling such as Kedro, where she has improved configuration management and maintained dataset integrations. Her background spans backend systems (Kafka, Kubernetes, AWS) and functional stacks like Clojure, plus a long history in game and media production as a freelance designer. Trained at 42 São Paulo and with a degree in Game and Interactive Media Design, she pairs low-level systems work (assembly, C, raytracing projects) with creative direction and digital sculpture skills. Passionate about the intersection of art and technology, she brings a designer’s eye to reproducible, maintainable engineering. Colleagues describe her wryly as a “grumpy robot” who nevertheless ships thoughtful, well-documented code.
code6 years of coding experience
job13 years of employment as a software developer
bookComputer Science, Computer Science at 42
bookBacharelado, Game and Interactive Media Design, Bacharelado, Game and Interactive Media Design at Universidade Anhembi Morumbi
bookPós-Graduação, Direção de Arte Audiovisual, Pós-Graduação, Direção de Arte Audiovisual at Centro Universitário Senac
bookCurso Livre, Escultura Digital em Zbrush, Curso Livre, Escultura Digital em Zbrush at MELIES | Escola de Cinema 3D e Animação
languagesPortuguese, English
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Github Skills (9)

kedro10
python10
pipeline10
data-engineering10
data-pipelines9
data-pipeline9
mlops9
machine-learning8
yaml8

Programming languages (6)

C++CJavaScriptRubyClojurePython

Github contributions (5)

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kedro-org/kedro

Aug 2023 - Apr 2025

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:
userData Engineer
Contributions:80 reviews, 70 PRs, 503 pushes in 1 year 8 months
Contributions summary:Laura primarily contributed to the maintenance and improvement of the Kedro project, focusing on data engineering aspects. Their work involved fixing docstrings, updating links related to datasets, and bumping the `kedro-datasets` version. They also refactored code to use `OmegaConfigLoader`, improving configuration management within the project. Additionally, the user addressed various formatting and linting errors throughout the codebase.
experiment-trackingpythonsciencepipelinedata-science
lrcouto/42_cpp

Oct 2021 - Apr 2023

Repository for the code for the 42 São Paulo C++ introduction to OOP.
Contributions:77 PRs, 72 pushes, 78 branches in 1 year 5 months
cppc-plus-plusoopintroduction-to-c
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