Rijul Saini is a PhD-trained Data and Applied Scientist based in Ottawa with 8 years of experience blending ML research, software engineering, and production deployment. He has led end-to-end initiatives from academia to industry—designing time-series forecasting platforms on Azure/Databricks, building AWS-based debugging tools (DataProbe) that saved hours daily, and delivering high-accuracy deep learning models for defect localization. Comfortable moving models into production, he uses MLflow and automated pipelines to cut manual processing from a week to hours while mentoring teams to adopt reproducible practices. His background spans predictive maintenance for aerospace, optimization of conceptual aircraft designs, and open-source collaboration from Google Summer of Code projects. Driven by engineering-for-social-good principles, Rijul pairs rigorous research methods with pragmatic software architecture to turn complex data into operational impact.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Guru Gobind Singh Indraprastha University
Doctor of Philosophy - PhD, Computer Software Engineering, Doctor of Philosophy - PhD, Computer Software Engineering at McGill University
Contributions:4 releases, 21 pushes, 5 branches in 1 year 1 month
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