Pratheeksha Nair

Researcher at Mila - Quebec Artificial Intelligence Institute

Montreal, Quebec, Canada
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Summary

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Pratheeksha Nair is a machine learning researcher and recent PhD from McGill University, now at MILA, with 11 years of experience tackling noisy, limited-label, and high-stakes problems across NLP, graph learning, and data-efficient methods. Her work spans social impact, financial document analysis, and reasoning systems, with practical emphasis on taking models from research to deployed systems that perform outside the lab. During her PhD she built robust NER pipelines for adversarial text and applied ML to analyze online traces of organized crime, reflecting a rare blend of technical rigor and real-world impact. Earlier research on valid SMILES generation and pattern analysis demonstrates a strong foundation in generative models and applied perception. Known for curiosity and disciplined engineering, she focuses on responsible, data-efficient AI solutions that work under adversity and uncertainty.
code10 years of coding experience
job1 year of employment as a software developer
bookMaster of Technology - MTech, IT, Master of Technology - MTech, IT at International Institute of Information Technology Bangalore
bookISC - 12th, Mathematics and Computer Science, ISC - 12th, Mathematics and Computer Science at St Thomas Residential School Trivandrum
bookPhD , Computer Science, PhD , Computer Science at McGill University
languagesMalayalam, English, Hindi, Tamil
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Stackoverflow

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Github Skills (22)

javascript10
css10
ruby10
html10
nodejs10
ruby-on-rails10
neat9
web-development9
extraction8
nlp6
machine-learning4
python4
data-science3
pattern2
discovery2

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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tudou0002/NEAT

Dec 2020 - Nov 2021

Repository for NEAT-Name Extraction Against Trafficking
Contributions:22 commits in 11 months
nlpextractionneattrafficking
nair-p/VisPaD

Feb 2022 - Jan 2023

Tool for visualization and pattern discovery
Contributions:1 PR, 7 pushes in 10 months
discoverypatternpattern-discoveryvisualization
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