Summary
Mateusz Staniaszek is a cloud-native architect and Co-Founder with 8 years in software and five focused on Kubernetes and AWS architecture, designing Big Data systems and production MLOps for international clients. He leads and coaches small engineering teams, having built mentoring pipelines and guided up to five engineers through cloud and data engineering best practices. His hands-on background spans serverless and container ecosystems (Lambda, EKS, Terraform, Argo/GitHub Actions) and production data platforms (Spark, Airflow, Kafka, Aurora/DynamoDB). A two-time Kaggle silver medalist, he pairs practical ML model design (transformers for NLP) with industrialized deployment patterns, not just prototypes. Based in Warsaw, he combines executive-facing demo experience with day-to-day implementation, from security-hardened AWS landing zones to CI/CD and artifact publishing. Colleagues describe him as a pragmatic engineer who moves projects from PoV to production while keeping an eye on repeatable, secure operations.
8 years of coding experience
3 years of employment as a software developer
Northwestern University 101: Leading with Analytics, Northwestern University 101: Leading with Analytics at Kellogg Executive Education
Inżynier (Inż.) Informatyka, Inżynier (Inż.) Informatyka at Warszawska Wyższa Szkoła Informatyki/Warsaw School of Computer Science
Master's degree Advanced Analytics – Big Data, Master's degree Advanced Analytics – Big Data at SGH Warsaw School of Economics
English, Polish, German