Gergely Svigruha

Engineering Manager at Datadog

New York, New York, United States
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Summary

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Rockstar
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Top School
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.
code11 years of coding experience
job14 years of employment as a software developer
bookMaster’s Degree Computer Science, Master’s Degree Computer Science at Budapest University of Technology and Economics
languagesEnglish, Hungarian, German
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Github Skills (43)

debugging10
graph-algorithms10
multi-table10
hugo10
python10
data-science10
machine-learning10
opentracing10
apm10
graph-data-science10
java10
security10
sql10
graph-visualization10
rdbms10

Programming languages (6)

JavaScalaJavaScriptGoJupyter NotebookPython

Github contributions (5)

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gsvigruha/medvil

Jan 2022 - Oct 2022

Contributions:246 commits, 835 PRs, 1291 pushes in 10 months
prodmodel/prodmodel

Mar 2019 - Jul 2019

Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Contributions:20 releases, 165 commits, 158 PRs in 3 months
data-sciencebuild-toolbuild-automationbuild-systemdata
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