Backends, APIs, and internal tools: new builds from scratch, rewrites of things that stopped scaling, and migrations that can't take down production.
- backend systems and APIs
- internal tools and operations dashboards
- migrations that preserve continuity
Pipelines that move and transform data reliably, powering analytics, feeding models, or syncing between systems. Built to run without babysitting.
- ingestion and transformation layers
- data warehouses and reporting pipelines
- quality checks and drift monitoring
AI where it actually helps, with the monitoring to know when it stops helping. The integration, the evaluation layer, and the fallbacks. Not just the demo.
- production LLM integrations
- evaluation and quality monitoring
- human review workflows