I take products from ambiguous beginnings to production systems people depend on.
Staff-level full-stack engineer with 10+ years across the entire product life — user research, UX, data modeling, frontend, backend, and cloud infrastructure. Comfortable inheriting an undocumented prototype or a legacy monolith, and just as comfortable with a blank page.
Selected work
AI Call Analytics: Natural-Language Answers to 'Why Do Customers Call?'
Sole architect of a production AI pipeline ingesting ~1,400 calls/day for a multi-billion-dollar rental company — then used its own data to cut total call volume ~30%.
- ~1,400 calls/day ingested and classified
- Classification: hours → minutes with Batch Inference
- ~30% reduction in total call volume
- First production AI system at the client
Testing Against Production in Seconds: Module-Federation Override Tooling
Built a Webpack 5 runtime-override system and browser extension for a 60-micro-frontend platform where no lower environment matched production — turning hours of setup into seconds.
- 60 micro-frontends, 4 teams
- Prod-parity testing: hours → seconds
- One-click dependency-aware deployments
The $1.4M/Year Bill Nobody Was Watching
A major retailer's RFID loss-prevention POC was drowning in false flags and billing ~$119K/month on GCP. Rebuilt the detection algorithm around windowed differentials, validated the economics with a hand-built usage calculator, and cut the bill ~99%.
- ~$119K/month → ~$1.3K/month (~99% cut)
- ~10 valid events per 10,000 sent, before the fix
- $500–700M ROI opportunity sized in proposal
How I work
Start anywhere
User research, data modeling, frontend, backend, or infra — the work starts wherever the problem starts.
Ship, then keep it healthy
Monitoring, observability, and root-cause debugging are part of the product, not an afterthought.
Any scale
Solo founding engineer, embedded in a team, or leading one — hands-on at every scale.