Harsh Verma is a software engineer in Seattle with nine years of experience building scalable data pipelines and automation, currently helping Truveta process billions of health records covering over one-third of the US population. He focuses on cost-efficient pipeline scaling, rigorous data-quality engineering, and tooling that keeps medical data flowing quickly and reliably into analytics and research. A former graduate researcher with five published ML/NLP papers (including BioNLP 2023) and a perfect 4.0 masters, he blends academic rigor in biomedical named-entity recognition with production-grade systems engineering. Harsh is driven by measurable positive impact—his GitHub and StackOverflow activity reflect a practical, community-minded approach to solving hard problems in healthcare data.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Computer Science, 3.7/4.0, Bachelor’s Degree, Computer Science, 3.7/4.0 at University of Washington
Masters degree, Computer Science, 4.0/4.0, Masters degree, Computer Science, 4.0/4.0 at Concordia University
Nano-degrees and Certificates, Computer Science, Nano-degrees and Certificates, Computer Science at Udacity and Coursera
Contributions:4 PRs, 75 pushes, 3 branches in 1 year
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