Services

Context engineering for production AI systems.

Every engagement is tailored to your stack, your data, and your specific challenges. Here is how I typically help teams.

Training Engineers

Training engineering teams to use modern AI tools effectively — prompt/context engineering, practical workflows, and quality habits.

  • Hands-on workshops using your codebase
  • Prompt & context engineering patterns your team can standardize on
  • AI-assisted dev workflows: copilots, chat, and agentic tooling
  • Evaluation habits: test sets, rubrics, and guardrails

AI Agent Architecture

Designing autonomous agent systems with proper tool use, memory management, and context window optimization.

  • Multi-agent orchestration and delegation patterns
  • Tool use design and function calling strategies
  • Memory management and conversation state
  • Cost optimization and inference scaling

MCP Servers & Tool Integration

Building Model Context Protocol servers that give LLMs structured access to your systems and data.

  • Custom MCP server design and implementation
  • Tool schema design for reliable function calling
  • Integration with existing APIs and data sources
  • Security boundaries and sandboxing

Production AI Systems

Taking AI from prototype to production with proper error handling, observability, cost management, and reliability.

  • Error handling and graceful degradation
  • Observability, logging, and evaluation harnesses
  • Cost tracking and optimization
  • Reliability patterns and uptime-focused engineering

Platform & DevEx

Building the developer tooling, shared libraries, and infrastructure that make AI adoption frictionless for engineering teams.

  • Shared AI libraries and SDK design
  • Internal tooling and developer workflows
  • Kubernetes abstractions and deployment automation
  • CI/CD pipelines with quality gates

Cloud Architecture

Event-driven and microservice architectures in Azure and Kubernetes, backed by 12+ years of production engineering.

  • Azure and Kubernetes infrastructure design
  • Event-driven and microservice architectures
  • Serverless and API gateway patterns
  • Infrastructure as code with Terraform

Available for Q2 2026 engagements

Let's figure out the right approach for your team.

Every project starts with a discovery call to understand your stack, your challenges, and where AI can have the most impact.