Ondřej Borovec is a DevOps and Machine Learning engineer with 11 years’ experience building observability, monitoring and data-driven systems for large enterprises such as SAP and IBM from Prague. He specializes in deploying centralized logging and monitoring platforms (Elasticsearch/Logstash/Kibana, Beats), AWS migrations, Ansible-driven automation, and containerized workflows, and has delivered anomaly detection, dependency analysis and data anonymization pipelines in production. With a background in data science (MSc) and hands-on big-data work (Spark, Hadoop, Kafka), he bridges ML models and robust operationalization. He has repeatedly led transformations of legacy deployments to cloud-native architectures and designed reporting and capacity planning for complex environments. Notably, his career combines research internships and product-facing roles, giving him a pragmatic mix of exploratory analytics and production-grade DevOps.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MSc., Data Science, Master of Science - MSc., Data Science at National School of Computer Science and Applied Mathematics of Grenoble
Bakalář (Bc.), Open Informatics, Bakalář (Bc.), Open Informatics at České vysoké učení technické v Praze, Fakulta elektrotechnická
Contributions:1 release, 60 commits, 8 PRs in 4 months
fluttermobile-appfirebaseevents
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Ondřej Borovec - DevOps Machine Learning Engineer at SAP