WORK
Real problems.
Systems built in practice.
AI agents, data platforms, AWS cloud and backend engineering.
Contributions from TymeX and KMS, with scope and design context.
Operational AI agents
Internal agents that help engineers triage logs and diagnose pipeline errors in their existing workflows.
Domain-owned data platform
A self-service lakehouse foundation connecting ingestion, domain data products, contracts and governance.
AWS online feature serving
The AWS serving side of a lending feature store, connecting offline feature pipelines with DynamoDB-backed online access.
Data Contract Platform
Versioned contracts that align data producers and consumers on structure, meaning, and quality.
Lending feature store
Shared feature definitions across offline model training and online lending decisions.
Backend services & integrations
Production microservices and APIs for healthcare and media workflows, with partner integration through API Gateway.
Internal contributions, described at a high level. Some case studies examine different parts of the same platform; each detail page explains its scope.