Luiz Matos
Software Engineer at Stone
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolLuiz Matos is a software engineer with eight years of experience building cloud-native back-end systems and occasional mobile apps, currently developing Kubernetes-based payment services at Stone. He has a polyglot background (Go, Java, JavaScript/TypeScript, Groovy, Elixir) and strong operational experience with Kafka, PostgreSQL, observability stacks and AWS deployments. Luiz has migrated monoliths to microservices and improved throughput and cost-efficiency for SMB-focused products, including work that reduced payment processing fees. As an MSc student researching NLP and deep learning, he brings a research-minded approach to distributed systems and algorithms. He also contributes to open-source ML tooling—such as enhancing the OCTIS topic-modeling framework—demonstrating attention to quality through tests and documentation. Based in Rio de Janeiro, he emphasizes knowledge-sharing and collaborative engineering to drive reliable, scalable services.
8 years of coding experience
5 years of employment as a software developer
BSc., Computer Science, BSc., Computer Science at Universidade Federal Fluminense
Github Skills (10)
pytorch10
word-embeddings10
topic-modeling10
nlp10
topic-models10
python10
natural-language-processing9
pytest9
gensim9
tensorflow8
Programming languages (12)
Github contributions (5)
MIND-Lab/OCTIS
Oct 2021 - Nov 2021
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 10 commits, 1 PR in 9 days
Contributions summary:Luiz primarily focused on enhancing the ETM (Embedded Topic Model) within the OCTIS framework. Their work included adding support for various word embedding file formats like word2vec, keyedvectors, and handling both binary and headerless text files, which significantly expanded the model's flexibility. They also addressed a bug related to single-word documents and integrated a test case to prevent this issue. Furthermore, the user updated the documentation and test suite to ensure code quality.
pythonneural-topic-modelstopic-modelingbayesian-optimizationnatural-language-processing
lffloyd/reddit-topic-modelling
Sep 2020 - Jul 2023
Scripts e utilitários para modelagem e identificação de tópicos relativos a depressão no Reddit, em língua portuguesa e inglesa, usando técnicas de modelagem de tópicos. Os modelos de tópicos Latent Dirichlet Allocation (LDA), Contextualized Topic Model (CTM) e Embedded Topic Model (ETM) foram explorados neste estudo.
Contributions:12 PRs, 46 pushes, 6 branches in 2 years 11 months
pythontopic-modelprawctmword2vec
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