Enterprise AI platform · 2025 –
Eval Engine, CI Quality Gates & Database Reliability
Senior AI Engineer, Platform
EvaluationCI/CDReliabilityPostgresSLOs
Challenge
Agent changes were hard to ship confidently: no consistent trace-backed evaluation, slow production-readiness cycles, and shared Postgres saturation hitting identity and agent services. This was platform-wide pain, not one bad query.
Approach
- Shipped an evaluation engine, SDK decorators, and CI quality gates so teams catch regressions before promote.
- Led database connection-pooling rollout (sidecar proxies, connection budgets, ADRs) to cap saturation on shared Postgres used by identity and agent services.
Tech stack
Evaluation engine + SDK · CI integration · Postgres · Connection-pooling sidecars · Prisma · ADRs · GitOps-promoted config
Outcomes
- ~50% faster production-readiness cycle with eval gates in the release path
- Reduced shared-Postgres saturation impacting core platform services
- Documented pooling decisions for ongoing SLO-driven operations
Context
Shared platform data plane that benefits all enterprise tenant workloads.