Engineering productivity loop
Use code and review history to reduce discovery time, repeated feedback, and tribal-knowledge loss without bypassing human review.
AI Platforms
AI systems people can trust.
My recent work sits at the intersection of product intelligence, governed tool orchestration, customer-behavior telemetry, and engineering productivity. The goal is not a flashy chat box. It is a reliable decision system.
Featured Case
Governed analytics over telemetry, feedback, CSAT, and customer journeys.
Teams need to reason over product behavior without depending on specialist query knowledge. The architecture pattern is controlled tool access, secure identity forwarding, memory, guardrails, response validation, and observability.
5KMonthly active users
95%Query success
<12sAverage latency
19Governed tools
System Diagram
Public-safe views of the platform pattern.
User Question
Agent Router
Governed Tools
Telemetry / CSAT / Feedback / Journeys
Grounded Answer
Surrounded throughout by auth, guardrails, memory, observability, and PII controls.
Product intelligence data flow
Customer interaction signals become product-decision workflows for service teams through telemetry, storage, and opinionated decision surfaces.
Before
Specialist-driven analytics
Decision
Governed tools, not open-ended access
After