Gergely Svigruha is an engineering leader with 11 years of experience building data-intensive systems and managing teams across analytics, product, and platform domains. Currently leading AI observability evaluations at Datadog, he has recent leadership stints as Director of Engineering at Paradigm and engineering roles at Mixpanel and Orchard where he progressed from lead data engineer to manager. His background blends algorithmic rigor—years writing scalable graph and parallel algorithms in Scala/Spark and contributions to Bazel at Google—with product-minded delivery for fraud detection, demography estimation, and large-scale analytics. Comfortable in startup and enterprise environments, he repeatedly moves between hands-on technical work and strategic team-building. Based in New York with a Master’s in Computer Science from Budapest University of Technology and Economics, he also has a history of organizing technical meetups, reflecting a commitment to community and knowledge sharing.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Budapest University of Technology and Economics
Transactional SQL based RDBMS with sophisticated multi table constraint logic.
Contributions:429 commits, 35 PRs, 327 pushes in 1 year 4 months
multi-tablerdbmsmysqltransactionalsql
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