Sergey Vyatkin is a Senior Software Engineer with 13 years of experience building cloud-native, data and AI/ML systems across companies like Moody’s, TuneIn, Baker Hughes and GE Digital. He architects and implements scalable ETL, streaming and IoT solutions using AWS, Cloud Foundry, Kafka/Flink, Databricks and languages including Java, Python and Go. Sergey has led cross-functional and offshore teams to productionize anomaly detection and predictive maintenance pipelines, and designed large-scale performance testing for millions of devices. He pairs deep backend expertise (Spring, gRPC, messaging) with hands-on ML data engineering—curating high-quality multilingual training datasets and implementing datalakes and validation pipelines. Based in Moraga, CA, he contributes technical writing and code on his blog and GitHub, reflecting a pragmatic focus on observability and reproducible ML workflows. Colleagues rely on him for combining systems-level thinking with practical delivery across complex industrial and media domains.
13 years of coding experience
16 years of employment as a software developer
Master of Computer Science, Applied Mathematics, Master of Computer Science, Applied Mathematics at Far Eastern Federal University
Contributions:43 commits, 43 pushes, 1 branch in 3 years 9 months
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