MLOps on Azure - war stories and lessons learned
What a team needs around an ML deployment: repeatable releases, observability and ownership. Lessons from refactoring a computer vision system running on edge devices.
Speaking
MLOps and data platform talks
I speak about MLOps, AI-ready data platforms and the operational reality of shipping data and ML systems. Sessions are available in Polish and English.
Based in Kraków, Poland. For conference or workshop invitations, contact me with the audience, format, language and dates.
For your event Conference session · PL / EN Conference session · PL / EN Conference session · PL / EN
Three sessions to start with
Understand your data landscape with Observability platform
How a data observability platform helps a team trace its data, understand dependencies and investigate quality problems. A session grounded in an Azure implementation.
MCP Servers - build your own toolkit for AI agents
Build and connect an MCP server, inspect its tool contracts and follow the local and hosted deployment paths. The demo explores what access to tools adds to an agent’s workflow.
Sessions
Conference history
Selected appearances and workshop materials. Where the delivery language is unverified, the entry shows the languages available for that session.
· Conference session · Available in PL / EN
MCP Servers - build your own toolkit for AI agents
How to build and connect an MCP server. The demo explores what access to tools adds to an agent workflow.
· Conference session · Available in PL / EN
SQL Server and the Vector Revolution - how LLMs see your data
Embeddings, vector search and the bridge between traditional data platforms and modern AI.
· Workshop · Delivered in PL
Trenuj, wdrażaj, nadzoruj: techniczny przewodnik po AI w Databricks
A full-day workshop following data preparation, model training, pipelines and model operations in Databricks, with hands-on exercises.
· Conference session · Available in PL / EN
BigQuery, Vertex AI or Databricks? Don’t choose - combine them!
A reference architecture for building one AI platform across BigQuery, Databricks and Vertex AI without creating new silos.
· Conference session · Available in PL / EN
Databricks Overwatch - the Dashboard that sees everything
Monitoring Databricks environments through Overwatch, from installation to dashboards and production lessons learned.
· Conference session · Available in PL / EN
MLOps on Azure - war stories and lessons learned
Operationalizing ML in regulated and edge-heavy environments through real production lessons from Azure-based systems.
· Conference session · Available in PL / EN
Efficient data streaming solutions at Scale with Azure
Streaming architectures and Azure-native delivery patterns for reliable data movement and processing at scale.
· Debate · Available in PL / EN
A Hitchhiker's guide to AI/ML
A practical starting map for entering AI/ML without getting lost in tooling, hype and bad early decisions.
· Conference session · Available in PL / EN
Understand your data landscape with Observability platform
Designing data observability in Azure so teams know what data exists, how it moves and whether it can be trusted.
Formats
Ways of working with engineering teams
Conference sessions
Architecture talks, technical sessions and practical case studies for engineering-focused events.
Hands-on workshops
Structured workshops on MLOps, Databricks, MLflow, Azure delivery pipelines and production patterns.
Internal enablement
Talks adapted for engineering organizations that need a sharper view of platform and operating-model choices.
Invite me to speak
Organizing a conference? Get in touch with the topic, audience and dates.