Oleks Saloid.

Oleks Saloid is a cloud solution architect with deep experience in big data, AI, and cloud-native engineering. He designs and builds the systems that data-driven products run on — cloud platforms, data pipelines, AI agents, full-stack applications, and the automation that keeps them reliable in production.

He has delivered solutions across AWS, GCP, Hetzner, and bare-metal EU infrastructure, with a strong focus on scalable architecture, distributed data processing, and production-grade cloud systems. His work spans infrastructure-as-code with Terraform, serverless and containerized platforms, Spark and Hadoop-based data processing, data workflows, model integration, RAG systems, and AI-powered applications.

Oleks Saloid turns broad goals like "we need a unified data platform" or "we want to use AI in production" into working systems: secure cloud environments, scalable data pipelines, workflow orchestration, APIs, observability, deployment automation, and practical AI architectures that can survive real-world use.

On the journal he writes about moving AI and data platforms beyond the pilot stage: cloud solution architecture, big data engineering, MLOps, AI agents, RAG, EU-sovereign infrastructure, data quality in production, and the operational discipline that separates a promising prototype from a system that runs reliably without you in the room.