In this episode, we are excited to receive Aurimas Griciūnas, a seasoned data professional who has made remarkable contributions to the data science, data engineering, and MLOps fields. As a senior MLOps engineer, data architect, and data platform team lead, our guest has been instrumental in driving the MLOps, data engineering, and machine learning industry forward. With a passion for helping professionals upskill in these disciplines, our guest has founded and is currently serving as CEO of SwirlAI, while also working as a senior solutions architect at Neptune.ai.

Our guest has led successful company-wide cloud-native transformations, migrated entire data platform stacks to Kubernetes, and introduced stream processing applications that moved some of the data warehouse processing stages upstream the pipeline. Their extensive experience also includes working with companies such as Danske Bank and Tesonet, where they identified use cases for machine learning and implemented ML-based products from end to end, developed big data ingestion pipelines, and enhanced affordability models using transaction data.

Aurimas is also a master of Python programming language, cloud-native architecture, Amazon Web Services, Kubernetes, and Apache Spark, among many other skills - CK{AD, A, S}. Get ready to be inspired by his insights and experiences in the world of data science, MLOps, and data engineering.

We hope that you enjoy this episode, let us know in the comments or by giving the podcast a review. Have a nice day!!

Aurimas Griciūnas: https://www.linkedin.com/in/aurimas-griciunas/
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/

Artistic Direction & Video: Maxence Kerhoas
Content Strategist & Writer: Sidheswar Pothal

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