Data side

Cloud data platforms: Snowflake, Azure pipelines, GxP-qualified environments, large migrations.

AI side

Agentic LLM systems: reference architectures, conversational agents, document-processing pipelines, MCP-connected workflows.

Core stack

What I reach for on most engagements.

Cloud
AWS · Azure · Kubernetes
Data
Snowflake · ETL · CI/CD
Agentic & AI
LangChain · OpenAI · LLM agents · MCP
Engineering
Python

Modernising a data platform, or moving an AI idea to production?