João Lages
Senior Data Scientist
Lisbon Metropolitan Area Portugal
Summary
👤
Senior🎓
Top SchoolJoão Lages is a Senior Data Scientist with 10 years of experience building ML-driven products and production models across finance and developer tooling, currently working on entity resolution for ComplyAdvantage’s global knowledge graph. He has led AI teams and shipped generative and graph-based solutions at OutSystems, built Revolut’s next-gen chatbot assistant, and applied deep learning to NLP and summarization at Priberam and Unbabel. Comfortable across the full ML lifecycle, his toolkit includes Python, PyTorch, Transformers, Diffusers, SQL and cloud platforms like GCS, Databricks and AWS. An active open-source contributor and technical writer, he combines rigorous academic training from IST and TU Wien with a pragmatic approach to shipping models in production. Less obvious: he frames his career like gradient descent—iterative, goal-driven improvements—bringing both research rigor and product focus to ambiguous problems.
10 years of coding experience
6 years of employment as a software developer
Vienna University of TechnologyAdvanced Course on Data Science & Machine LearningMaster's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at Instituto Superior Técnico
Portuguese, Spanish, English
Github Skills (200)
transformers10
language-model10
python10
diffusion-models10
classifier10
flax10
datasets10
deep-learning10
image-generation10
speech10
gpu10
adaptation10
pandas10
ml10
audio10
Programming languages (9)
Github contributions (5)
JoaoLages/RATransformers
Jan 2022 - Dec 2022
🐭RATransformers - make your model learn implicit relationships within your input.
Contributions:7 releases, 87 commits, 5 PRs in 11 months
nlppytorchlanguage-modeltransformersimplicit
JoaoLages/diffusers-interpret
Aug 2022 - Sep 2022
Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
Contributions:10 releases, 26 reviews, 285 commits in 25 days
pytorchtransformersinterpretabilitydeep-learningexplanations
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