AI Infrastructure
Data, model, and deployment foundations built for durability — from pipelines to monitoring to production hardening. The invisible engineering that determines whether your AI product works reliably or falls apart at scale.
Who this is for
Teams with a working model that needs to run reliably in production. Companies whose AI pipeline breaks every time the data changes. Organizations that need to move from "it works on my laptop" to "it serves thousands of users with five-nines uptime."
How it works
I audit your current infrastructure — data pipelines, model serving, monitoring, deployment processes — and identify the gaps between where you are and where you need to be. Then we fix them in priority order, starting with whatever's most likely to cause a production incident.
This isn't about building the fanciest MLOps stack. It's about building the right infrastructure for your scale, team, and budget. Sometimes that's Kubernetes and feature stores. Sometimes it's a well-configured EC2 instance and a cron job. I'll tell you which one you actually need.
What I've built
- Enterprise analytics pipelines supporting thousands of daily users
- Real-time computer vision processing for live sporting events
- HIPAA-compliant data pipelines with zero cloud transmission of patient data
- On-device model deployment across iOS, Android, and desktop
- Blockchain infrastructure for Web3 commerce platforms
Data Pipeline Engineering
Ingestion, transformation, and storage infrastructure that handles your actual data volume and velocity.
Model Deployment
Serving infrastructure, API design, versioning, and rollback strategies for production ML.
Monitoring & Alerting
Model drift detection, performance monitoring, and automated alerting before users notice problems.
Production Hardening
Load testing, failure mode analysis, security review, and the boring-but-critical work that prevents outages.
Infrastructure work can be surgical (fix a specific pipeline) or comprehensive (build from scratch). Scoped on a call based on your current state and goals. No long-term commitment required.
Need AI infrastructure that doesn't break when real users show up?
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