Stefano Dantas
Senior Machine Learning Engineer at Findly (YC S22)
Montreal, Quebec, Brazil
Summary
👤
Senior🎓
Top SchoolStefano Dantas is a Senior Machine Learning Engineer with 8 years of experience designing AWS-based architectures, deploying ML systems, and optimizing microservices and data pipelines across industry and research settings. He has translated advanced NLP and ML research into production—building BERT-based topic models, multi-label classifiers, and regulatory-sector classifiers used in policy and government contexts. His background spans quantitative finance, political science, and spatial tech, giving him a rare ability to connect domain-driven metrics (e.g., regulatory restrictiveness) to scalable ML services. Based in Montreal with roots in Brazil, he blends academic rigor from McGill with hands-on cloud engineering at startups (including YC‑backed Findly) and GIS-focused firms. Notably, he has moved projects from peer-reviewed research into operational pipelines, demonstrating both experimental depth and production discipline.
8 years of coding experience
10 years of employment as a software developer
Bacharelado em Engenharia, Engenharia Elétrica e Eletrônica, Bacharelado em Engenharia, Engenharia Elétrica e Eletrônica at Universidade de BrasíliaMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at McGill University
Portuguese, English, French, Spanish
Github Skills (36)
topic-models10
topic-modeling10
tf-idf10
sentence-embeddings9
time-series-forecasting9
nlp9
deep-learning8
machine-learning8
graph8
transformers8
pytorch7
aws7
natural-language-processing7
probabilistic7
bert7
Programming languages (4)
Github contributions (5)
lamfo-unb/consensus_project
Apr 2020 - Sep 2020
Contributions:4 PRs, 18 pushes, 3 branches in 4 months
sgdantas/Q-Learner
Dec 2017 - Oct 2018
Contributions:1 push, 1 branch in 10 months
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