Engineering for systems with consequences.
Hands-on engineering for regulated operations that can't fail quietly.
An expensive process stuck on manual work, brittle data, or AI that didn't survive production. I embed with the people who run it, measure the cost, and decide full automation, human-in-the-loop, or don't build. If we build, security shapes the architecture, including edge when data has to stay put. Then I train your team and hand it off.
Moonrise Labs is not taking on new clients.
Speed is easy now. Judgment isn't.
Shipping code has never been faster. Deciding what to build, how it fits the systems around it, and whether the data path holds up under review is still careful work. In regulated operations, speed without that judgment just creates risk faster.
Measure first. Decide what belongs. Then build.
The most valuable call I make is often not to build. I measure the current system with the people who run it before I have an opinion. When we build, security shapes the architecture from the start, and the result is documented and handed off so your team can run it without me.
What I do
Agentic engineering and automation, built on platform, security, data, and product engineering that hold up. Most projects need several of these at once.
Agentic Engineering
Coding agents as part of the engineering system. Harnesses, guardrails, quality gates, and telemetry.
Automation & Applied AI
Manual work mapped and measured, then automated where it pays off. Models chosen on evals and cost, with guardrails.
Platform & Infrastructure
AWS and GCP platforms defined in code. Kubernetes, GitOps delivery, observability, and cost control.
Security & Compliance
Identity, least privilege, audit trails, and data boundaries designed in. Architecture that holds up under HIPAA, SOC 2, and ISO 27001 review.
Data Engineering
Ingestion, enrichment, and event pipelines. Data modeled and accessible for products, analysis, and automation.
Product Engineering
Web, mobile, and backend products from first version through launch and iteration. Full stack, from data model to interface.
Where the work sits
Healthcare, energy, and finance. Regulated data, real compliance, and systems where failure has cost.
Healthcare
Telehealth apps, clinical integrations, and data platforms that handle PHI. Built for HIPAA from the first commit, with the access control and audit trail a security review expects.
Energy
Fleet electrification, EV charging, and energy management platforms. Real-time device data, hardware integrations, and private-cloud delivery for customers with strict compliance requirements.
Finance
Prospect enrichment, sales workflow platforms, and data pipelines for funding teams. Third-party data consolidated and modeled under the compliance constraints the firm already has to meet.