Felipe Siqueira
Data Scientist
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolFelipe Siqueira is an applied data scientist with nine years of experience, an M.Sc. in Artificial Intelligence (NLP) and a B.Sc. in Computer Science from the University of São Paulo, now working at Nubank after building AI-driven product capabilities at Luizalabs. He specializes in deep learning and generative AI—PyTorch, Transformers, embeddings, LangChain/LangGraph—and has production experience with PySpark, BigQuery and vector databases for unstructured text and image data. His research background includes first-author publications on legislative text segmentation and creation of a large Brazilian legal corpus, reflecting a rare blend of academic rigor and applied product delivery. Felipe has hands-on expertise in semantic search, topic modeling, NER annotation pipelines and custom model evaluation, and has wrapped research models into APIs for real-world use. Notably, he contributed to widely used tooling for meta-feature extraction early in his career and brings a practiced ability to translate legal and governmental NLP research into usable software.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at USP - Universidade de São PauloExchange Student – Master’s in Data Science, Computer Science, Exchange Student – Master’s in Data Science, Computer Science at University of HelsinkiUniversity of São Paulo
Github Skills (57)
python10
encoder10
meta-learning10
machine-learning10
segmentation10
automl10
bert10
feature-extraction9
sentence-embeddings9
dimension-reduction9
natural-language-processing9
weak-supervision9
topic-models9
tf-idf9
lstm9
Programming languages (6)
Github contributions (5)
ealcobaca/pymfe
Dec 2018 - Jan 2023
Python Meta-Feature Extractor package.
Contributions:2 releases, 8 reviews, 714 commits in 4 years 1 month
pythonmachine-learningmeta-learningmeta-featuresautoml
ulysses-camara/ulysses-fetcher
May 2022 - Dec 2025
Fetch pretrained models for Ulysses project.
Contributions:13 releases, 1 review, 38 pushes in 3 years 8 months
pre-trained-model
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