Sergey Semichev
Principal Cloud And AI Architect, ML Practitioner at eSimplicity
McLean, Virginia, United States
Summary
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Senior🎓
Top SchoolSergey Semichev is a Principal Cloud and AI Architect and ML practitioner with over two decades of experience designing high-performance, scalable, and maintainable distributed systems and big data platforms. He blends deep expertise across AWS and Azure with hands-on work in streaming and batch frameworks such as Spark, Flink, Kafka, Storm, and Ignite to build end-to-end data ingestion, transformation, analytics, and MLOps pipelines. Sergey has led cloud migrations and microservices transformations, championing CI/CD, containerization, and resilient, message-driven architectures for enterprise and fintech use cases including fraud and card AI. At Capital One and eSimplicity he moved models from research to production using SageMaker, Kubeflow, TensorFlow and Keras, while at prior roles he architected real-time fuzzy matching and automated data-science platforms. Known for codifying design patterns and developer frameworks, he accelerates delivery quality and team maturity beyond individual projects. Based in McLean, VA, he pairs an MS in Computer Science with a practical knack for making large-scale ML systems operational and observable.
11 years of coding experience
13 years of employment as a software developer
MS in Computer Science Mathematics and Computer Science, MS in Computer Science Mathematics and Computer Science at Donetsk National Technical University
English, Russian
Github Skills (93)
logback9
wrapping9
streaming9
amazon-web-services9
macros9
java9
sbt9
csv-reader9
high-performance8
kubernetes-deployment8
kubernetes-cluster8
akka8
reactive8
elasticsearch8
slf4j8
Programming languages (8)
Github contributions (5)
deepcortex/dockers
Apr 2017 - Feb 2018
A set of docker images
Contributions:123 commits, 15 PRs, 129 pushes in 9 months
dockerfiledocker-imagedockerdocker-images
ssemichev/eagle
Nov 2016 - Aug 2019
Contributions:1 push, 1 branch in 2 years 9 months
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