Mátyás Őrhidi

Staff Software Engineer at The Apache Software Foundation

Cupertino, California, United States
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Summary

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Mátyás Őrhidi is a Staff Software Engineer based in Cupertino with eight years focused on building real-time AI and modern data infrastructure that connects LLMs to live data and enables agent reasoning. At Apple he drives machine learning and data platform work, while as an Apache Flink committer he has hands-on experience integrating stream processing with Kubernetes—contributing Ingress support and CRD alignment to the widely used Flink Kubernetes Operator. His background spans technical leadership and security specialization at Cloudera, where he architected Flink integrations for on‑prem and cloud deployments, and earlier roles delivering Java-based systems across telecom, finance, and e-commerce. He combines low-level systems and DevOps expertise with product-minded engineering, and is comfortable owning both API-level integrations and deployment plumbing that keep real-time systems reliable in production.
code8 years of coding experience
job16 years of employment as a software developer
bookMaster of Science (MSc), Electrical Engineering and Informatics, Master of Science (MSc), Electrical Engineering and Informatics at Budapest University of Technology and Economics
languagesHungarian, English
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Github Skills (10)

ingress10
javas10
crt10
kubernetes10
flink-sql10
apache-flink10
devops10
java10
kubernetes-pods10
big-data9

Programming languages (6)

JavaShellGoHTMLJupyter NotebookPython

Github contributions (5)

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Apache Flink Kubernetes Operator
Role in this project:
userBack-end & DevOps Engineer
Contributions:271 reviews, 77 commits, 79 PRs in 10 months
Contributions summary:Mátyás implemented Ingress support, adding features related to networking within the Kubernetes environment. This involved modifying Java code to deploy and configure Ingress resources, likely for exposing the Apache Flink Kubernetes Operator's services. The contributions also include CRD (Custom Resource Definition) alignment and initial deployment setup. Overall, the commits demonstrate the user's focus on integrating the operator with Kubernetes networking and core deployment functionality.
flinkapachebig-datasparkoperator
Apache Flink Kubernetes Operator
Contributions:164 pushes, 68 branches, 1 tag in 3 years
flinkapacheoperatorsparkapache-flink
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