Megha Nagabhushan

Machine Learning Engineer at Dark Matter Technologies

Toronto, Ontario, Canada
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Summary

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Senior
🎓
Top School
Megha Nagabhushan is a Machine Learning Engineer with nine years of experience building data-driven solutions across finance, biotech, and enterprise software. She blends research-grade deep learning and ontology engineering—authoring an IEEE BIBM paper on constructing dynamic biomedical ontologies—with hands-on production work in Spark, TensorFlow, and scalable data platforms. Her background spans full-stack and mobile development (MEAN stack, Android/Ionic) which helps her bridge model development to deployable applications and visualization. At Black Knight and Dark Matter Technologies she translated complex datasets into actionable models, and she now contributes ML expertise at ATS Software. Known for combining classical software engineering rigor with AI research, she has a track record of shipping end-to-end systems that embed semantic knowledge into ML pipelines. Based in Toronto, she maintains an active GitHub and personal site showcasing reproducible research and tooling for ontology-driven NLP.
code9 years of coding experience
job8 years of employment as a software developer
bookMaster's degree Computer Science, Master's degree Computer Science at University of Missouri-Kansas City
bookBachelor's degree Computer and Information Sciences, Bachelor's degree Computer and Information Sciences at New Horizon College of Engineering
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Github Skills (12)

nlp4
deep-learning3
audio-processing3
python3
computer-vision3
natural-language-processing2
tensorflow2
machine-learning2
scikit2
keras-tensorflow2
keras2
scikit-learn1

Programming languages (1)

Python

Github contributions (5)

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Contributions:9 commits, 6 pushes, 1 branch in 1 day
Contributions:10 pushes, 1 branch in 2 years
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Megha Nagabhushan - Machine Learning Engineer at Dark Matter Technologies