Pedro Castro
CTO at Data Lawyer
Goiás, Brazil
Summary
👤
Senior🎓
Top SchoolPedro Castro is a CTO and NLP researcher with a MSc (and ongoing PhD) in Natural Language Processing and over a decade of hands-on experience applying AI to legal and health domains. He combines 14+ years of deep Java EE engineering and architecture expertise with a shift since 2015 toward building production-ready NLP pipelines—leading development of legal language models, NER, relation extraction and Jurimetrics analytics. Known for rigorous TDD and CI-driven delivery, he bridges research and product by operationalizing ML components (topic models, doc2vec) into enterprise search and legal-insights platforms. As a member of the Deep Learning Brasil group, he contributes to domain-focused deep learning research while running AI strategy and engineering at Data Lawyer. A practical technologist, he pairs academic depth with a record of introducing ML into legacy Java stacks to add semantic intelligence.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD Natural Language Processing, Doctor of Philosophy - PhD Natural Language Processing at Universidade Federal de GoiásColégio WRCoursera - Machine Learning Specialization
Portuguese, English
Github Skills (166)
transformers10
language-model10
python10
arabic-nlp10
entity-linking10
deep-learning10
fairness-ml10
cython10
in-progress10
data-preprocessing10
neural10
transformer10
topic-modeling10
nlp10
corenlp10
Programming languages (5)
Github contributions (5)
pvcastro/deeplearningufg
Mar 2017 - May 2021
Contributions:121 commits, 124 pushes, 1 branch in 4 years 2 months
pvcastro/pytorch-pretrained-BERT
Feb 2020 - Jul 2022
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
Contributions:14 pushes in 2 years 4 months
pytorchnlptransformersbertbert-model
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