Irving Rodrigues
Data Scientist
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolIrving Rodrigues is a data scientist with 11 years of experience applying deep learning, NLP, and data mining to real-world software engineering problems. Holding a PhD from Polytechnique Montréal, he developed state-of-the-art models for bug report deduplication and fast stack-trace similarity methods that were validated with industry partners. At Ciena he builds ML-driven tooling and visual interfaces to support software maintenance, combining feature engineering on textual data with production-focused pipelines. His background includes domain-adaptive POS tagging research and hands-on web and search engineering, giving him a rare mix of academic rigor and practical systems experience. Based in Montreal, he excels at turning complex research into stakeholder-facing tools and iterative improvements.
11 years of coding experience
4 years of employment as a software developer
Ph.D., Machine Learning and Data Science, Ph.D., Machine Learning and Data Science at Polytechnique MontréalMaster's in Computer Science, Computer Science, Master's in Computer Science, Computer Science at Universidade Federal de Mato Grosso do Sul
Portuguese, English, French
Github Skills (2)
julia2
optimization1
Programming languages (2)
Github contributions (5)
irving-muller/TraceSim_EMSE
Nov 2021 - May 2022
Contributions:5 commits, 2 pushes in 5 months
irving-muller/soft_alignment_model_bug_deduplication
Mar 2020 - May 2022
Contributions:11 commits, 2 PRs, 11 pushes in 2 years 2 months
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