Markos Viggiato
Senior Applied Scientist at Thomson Reuters
Canada
Summary
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Senior🎓
Top SchoolMarkos Viggiato is a Senior Applied Scientist with a PhD in Intelligent Systems (AI/NLP) and eight years of experience applying machine learning, NLP, and data engineering to industry problems. He specializes in transformer-based and statistical language models, LLM PEFT fine-tuning, preference alignment, and explainable ML, and has productionized models as REST APIs and internal web apps on cloud platforms. His applied research has driven practical wins—86% accuracy for document redundancy detection via domain-adapted BERT/SBERT and an 88% domain-specific text completion system used to accelerate engineering documentation. Markos pairs strong software-engineering practices and SQL/cloud fluency with a track record of multi-label and zero-shot classification at scale, having classified over 7K+ documents with ensemble approaches. Comfortable collaborating across product, engineering, and research teams, he brings a pragmatic focus on deployable solutions that balance neural and statistical methods—an approach honed from game-testing analytics to legal tech. Based in Canada, he combines academic rigor (multiple scholarships) with hands-on deployment experience at companies like Prodigy Education, LexCheck, and Thomson Reuters.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) AI NLP and Machine Learning for Games, Doctor of Philosophy (PhD) AI NLP and Machine Learning for Games at University of AlbertaExchange Electronics Engineering, Exchange Electronics Engineering at Trinity College DublinMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Universidade Federal de Minas Gerais
Portuguese, English, Spanish, French, ItalianProgramming languages (1)
Github contributions (5)
asgaardlab/dota2-prediction-models
Aug 2020 - Sep 2020
Contributions:25 commits, 24 pushes, 1 branch in 27 days
asgaardlab/21-markos-test_case_similarity_technique-code
Jun 2021 - Nov 2021
Contributions:42 commits, 28 pushes, 1 branch in 5 months
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