Summary
Nima Miryeganeh is a software engineer with a M.Sc. in Software Engineering from the University of Calgary and nine years of hands-on experience building ML-driven tooling, data pipelines, and research-backed software. He has blended academic research and industry practice—publishing work from an automated geo-spatial integration pipeline and building tools like GloBug for fault localization—while teaching data science and algorithms to graduate students. His background spans Python, TensorFlow, scikit-learn, MongoDB and Apache Solr, and includes practical experience in dataset integration, automated fault resolution, and geotagging named entities. Based in San Jose, he combines a researcher’s rigor with a tutor’s clarity, often turning complex information-retrieval and ML concepts into production-ready systems. An uncommon strength is his focus on leveraging global open-source data to improve automated debugging and spatial data integrity, bridging semantic ideas with concrete engineering.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at University of Tehran
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at University of Calgary
English, Persian, French