Pedro Balage

Associate Director, Machine Learning Engineering

Lisbon, Lisbon, Portugal
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Summary

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Pedro Balage is an Associate Director of Machine Learning Engineering with a PhD in Artificial Intelligence and 13 years building production ML and data science teams across e-commerce, AI data platforms, and consumer travel. He combines deep research expertise in NLP, computer vision and neural retrieval with hands-on delivery of product roadmaps, data architectures and cross-functional stakeholder alignment. He has led and scaled teams at Farfetch, Defined.ai, PandaDoc and now Tripadvisor, applying graph-based similarity, entity linking, taxonomy design and visual attribute extraction to real-world product and search problems. Pedro also founded a consumer review analytics startup and contributes practical test automation to ML education tooling, demonstrating a blend of entrepreneurship, quality engineering and pedagogy. Based in Lisbon, he pairs academic rigor with a product-first mindset to move novel neural architectures from prototype to production.
code13 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at USP - Universidade de São Paulo
bookPostgraduate, Marketing, Strategy & Innovation, Postgraduate, Marketing, Strategy & Innovation at Nova School of Business and Economics
bookMaster of Arts - MA, Natural Language Processing, Master of Arts - MA, Natural Language Processing at University of Algarve
bookMaster of Arts - MA, Natural Language Processing, Master of Arts - MA, Natural Language Processing at University of Wolverhampton
bookERASMUS Student, Computer Engineering, ERASMUS Student, Computer Engineering at University of Lisbon
languagesEnglish, Portuguese, Spanish, French
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Github Skills (9)

pytest10
python10
testing10
theano9
n9
rnn-model9
lstm9
deep-learning8
machine-learning8

Programming languages (7)

C++CSSTeXScalaHTMLJupyter NotebookPython

Github contributions (5)

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LxMLS/lxmls-toolkit

Jun 2017 - Jun 2018

Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:3 reviews, 46 commits, 8 PRs in 1 year
Contributions summary:Pedro's commits primarily involve adding and modifying test files, specifically focusing on integration tests. The changes include setting up test fixtures, writing test cases, and verifying the expected outputs of functions within the lxmls-toolkit. The tests cover aspects of the toolkit related to deep learning, specifically RNNs and LSTM models, and ensuring the correctness of the exercises within the Lisbon Machine Learning Summer School.
nlpappliedsummer-schoolfairness-mllanguage-processing
Contributions:2 PRs, 59 pushes, 4 branches in 4 years 10 months
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