Soumya Menon
Artificial Intelligence Researcher at National Research Council Canada / Conseil national de recherches Canada
Waterloo, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolSoumya Menon is an Artificial Intelligence researcher and scientific computing specialist based in Waterloo with a decade of experience applying ML and physics-informed models to real-world problems from climate forecasting to automated manufacturing. At the National Research Council she builds AI-driven knowledge discovery tools and has led projects using physics-aware AI to optimize thermoplastic automated fiber placement and improve process quality. Her background spans hydroclimate probabilistic forecasting, genomics pipelines on HPC, and embedded systems automation, reflecting an ability to move between domain science and production-ready tooling. An active contributor to practical NLP code for O’Reilly’s Practical Natural Language Processing, she pairs reproducible research practices with clear, teachable documentation. Known for blending rigorous math training with hands-on engineering, she often surfaces practical model insights that bridge theory and operational constraints.
10 years of coding experience
3 years of employment as a software developer
International Baccalaureate, Physics, International Baccalaureate, Physics at Neev AcademyIBDP, 41/45, IBDP, 41/45 at International BaccalaureateIGCSE, IGCSE at VIBGYOR Group of SchoolsBachelor of Math - BMath, Honours Applied Mathematics (Co-op), Bachelor of Math - BMath, Honours Applied Mathematics (Co-op) at University of Waterloo
English, Hindi, Malayalam, Korean, Spanish
Github Skills (8)
jupyter-notebook10
nlp10
python10
natural-language-processing10
scikit-learn9
scikit9
word-embeddings9
named-entity-recognition8
Programming languages (7)
Github contributions (5)
practical-nlp/practical-nlp-code
Apr 2020 - Oct 2020
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Role in this project:
Data Scientist
Data ScientistContributions:12 commits, 11 pushes, 4 comments in 5 months
Contributions summary:Soumya made several commits focused on modifying and updating Jupyter Notebooks related to Natural Language Processing. Specifically, the commits demonstrate changes to descriptions and content within notebooks covering One-Hot Encoding and Pre-trained Word Embeddings, which were used to improve clarity and reflect the code's functionality more accurately. The user also added comments and reviewed outputs in several notebooks, including those involving Entity Linking, Key Phrase Extraction, and Named Entity Recognition, indicating a focus on understanding and refining the practical application of NLP techniques within the repository.
nlpnatural-language-understandingoreilly-bookslanguage-processingmachine-learning
nishkalavallabhi/BEA19UserstudyData
May 2019 - Aug 2019
Contributions:7 commits, 6 pushes, 1 branch in 2 months
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