Summary
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.
9 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Missouri-Kansas City
Bachelor's degree Computer and Information Sciences, Bachelor's degree Computer and Information Sciences at New Horizon College of Engineering