AI Tech Lead | Applied AI and product engineering
I build AI products around customer workflows, with a background in backend and distributed systems across fintech and F&B.
At Foodics, my work spans customer discovery, experimentation, architecture, evaluation, and delivery. I focus on simple systems, measurable behavior, and keeping users in control.
Controlled experiments comparing ordinary tools and Code Mode across recovery, human edits, approval withdrawal, and conditional batching. Includes source, saved execution traces, offline verification, and runners for new trials.
A companion implementation for my article on application metrics: Spring Boot and AOP instrumentation, Prometheus collection, and Grafana dashboards.
- Agent systems: tool use, evaluation, recovery, and application-enforced permissions.
- Backend systems: payments, settlement, authentication, and event-driven services.
- Product delivery: customer discovery, A/B testing, release readiness, and rollout strategy.