Capability
Platform Engineering
The backend that data and AI features sit on: APIs, schema as code, deploys you can rerun, and admin tools people actually use.
Problems I Solve
Where this capability fits
Internal systems are held together by one-off scripts and manual steps.
AI features need real backend plumbing, not a model call wired to a frontend.
Schema changes get applied by hand, so environments drift apart.
Deploys are fragile, so nobody wants to ship.
Scope
Capabilities
FastAPI services with roles, quotas, and health endpoints
Schema as code: numbered migrations through one tracked runner
Idempotent deploy scripts and matching dev and prod compose files
Admin and review screens that work on a phone
Next.js front ends and static exports
Protected-branch, PR-only workflows
Example Systems
Systems I design and build
APIs for data products and LLM features
Admin and operations tooling
Static sites and dashboards deployed from CI
Scripts turned into scheduled, observable services
Technical Stack
Tools and platforms
Need this capability on your product?
Start with a technical scoping call focused on data sources, users, and success criteria.