Jorge Contreras

Engineering leader. AI strategy and platforms.

I lead engineering teams, AI strategy, and the platforms behind them. MCP servers, governance, and LLM systems in production. 15+ years in technical leadership.

Who I am

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:

  • Technology roadmaps and engineering teams
  • AI strategy for production platforms
  • MCP servers and enterprise context for agents
  • AI governance: identity, permissions, auditing, and policy
  • Cloud platforms and Kubernetes at scale
  • ETL pipelines from PDFs, email, and AIS APIs into databases, real-time and scheduled

Focus

Where I lead

Engineering leadership

I lead teams, set roadmaps, and own delivery. Technology direction with measurable outcomes.

AI strategy

I define where AI goes in the organization: platforms, investment, and what reaches production.

AI governance

Permissions, auditing, policy, and handling of sensitive data in regulated environments.

MCP & enterprise context

MCP servers, tool calling, and identity-aware access for agents using internal systems.

Cloud & platform

AWS, Kubernetes, and multi-cloud architecture for systems that need to scale.

Impact

Tangible Results

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.

Certifications & Credentials

AWS AI Practitioner AWS AI Practitioner
AWS Cloud Practitioner AWS Cloud Practitioner
AWS Developer AWS Developer
CKAD Kubernetes Developer CKAD Kubernetes
PMI Agile Certified Practitioner PMI-ACP Agile
GitHub Foundations GitHub Foundations
Terraform Associate Terraform Associate

Let's talk

If you are hiring for engineering leadership on an AI platform, email me.