I am a technology leader with over 15 years leading engineering teams, cloud platforms, and AI initiatives.
I lead AI strategy and the systems that run in production.
I lead:
I lead teams, set roadmaps, and own delivery. Technology direction with measurable outcomes.
I define where AI goes in the organization: platforms, investment, and what reaches production.
Permissions, auditing, policy, and handling of sensitive data in regulated environments.
MCP servers, tool calling, and identity-aware access for agents using internal systems.
AWS, Kubernetes, and multi-cloud architecture for systems that need to scale.
Current work at McQuilling Partners, and platforms I have led.
Sailbot Current
I lead the design and development of Sailbot at McQuilling Partners, a maritime intelligence platform. It brings together email analysis, summaries, recommendations, data ingestion, and an MCP server, with identity-aware access and AI policy. I work with Snowflake, Sigma, and Azure, using Claude and GitLab.
Market data and AIS ETL Current
I lead the design and development of ETL tools that extract market data from PDFs, email, and AIS position APIs, with real-time and scheduled ingestion into databases. I use Python scripts, Azure Container Jobs, and Power Automate.
Continuous Delivery Current
At PCH I moved delivery from one release a month to several per week with CI/CD, containers, and orchestration. I apply the same practice at McQuilling Partners.
AppServices 2024
I led 8 developers and QA engineers on an AWS microservices platform that powered mobile products used by millions of people.
Performance, reliability, and observability
I established logging, telemetry, and incident response for backend platforms in production.
AWS AI Practitioner
AWS Cloud Practitioner
AWS Developer
CKAD Kubernetes
PMI-ACP Agile
GitHub Foundations
Terraform Associate
If you are hiring for engineering leadership on an AI platform, email me.