Andrei Vishniakov is an MLOps lead based in Berlin with eight years of experience architecting and operationalizing ML platforms across enterprises and startups. He has driven company-wide MLOps rollouts — from Databricks and Tecton at HelloFresh to unifying multiple orchestration frameworks into a single scalable platform at JetBrains, growing adoption from zero to 140 users in under a year. Andrei blends deep hands-on engineering (Kubeflow, Argo, MLflow, Kubernetes, Python, TensorFlow) with strategic vendor PoCs, internal advocacy, and mentoring to make AI development both reproducible and joyful for teams. His background spans edge-deployed CV and anomaly-detection solutions at SAP to open-source product and roadmap work at ZenML, showing a rare mix of production rigor and community-facing product sensibility. Colleagues rely on him to translate recurring ML workflow bottlenecks into pragmatic frameworks that democratize best practices and reduce vendor lock-in.
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