Selected engineering experience
Public summaries of work in that enterprise engagement.
Leadership analytics, from warehouse to interface.
I built and helped own an analytics platform spanning React and
TypeScript, a Node.js backend, and Redshift data. I moved dashboard
delivery toward scheduled, precomputed snapshots, so the interface
could consume aggregated data without waiting on large live-query
responses.
A database adapter supported PostgreSQL for local development and
the Redshift Data API. I validated parity through row counts,
identifiers, and normalized values, with explicit failures when
parity could not be established. Application calculations were
aligned with authoritative metric definitions, with deployment and
handoff documentation alongside the code.
Increasing ownership across application layers.
Recent work connects React interfaces, FastAPI services, application
and rules-engine logic, and warehouse and Salesforce integrations.
It increasingly includes authentication, infrastructure, tagged
releases, and deployment—not just a single layer of the application.
The infrastructure underneath the application.
I’ve designed and deployed AWS infrastructure using CDK across EC2
and serverless architectures. That work includes networking, IAM,
secrets management, deployment, hardening, runbooks, and engineering
handoff.
For one internal business application, my ownership was the cloud
infrastructure and deployment. I did not author the application’s
full business logic.
AI workflows with a human review path.
Earlier work translated operational requirements into AI-assisted
workflows using Bedrock, Claude, LangChain, and LangGraph.
Structured Pydantic schemas, evaluation, retained reasoning, and
auditable human overrides made review part of the workflow.
Discovery, specifications, and implementation planning were part of
that work too.
