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.
9 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 (60)
feature-extraction10
expressions10
meta10
meta-learning10
machine-learning10
imputation10
feature-engineering10
automl10
orange10
topic-modeling10
data-science9
encoder9
sentence-embeddings9
dimension-reduction9
python9
Programming languages (6)
Github contributions (5)
ulysses-camara/ulysses-segmenter
Feb 2022 - Feb 2023
Brazilian legislative text segmentation.
Contributions:7 releases, 3 reviews, 430 commits in 1 year
nlppretrainedlegalbertdeep-learning
FelSiq/antiderivative-solution-insertion-on-images
May 2019 - Jun 2019
Detection and solution of mathematical expressions in photos using image processing techniques.
Contributions:99 commits, 4 PRs, 44 pushes in 1 month
techniquespythonmathematical-expressionsimage-segmentationcomputer-vision
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