Two AWS teams,
three flagship features.

LLM-driven configuration analysis for Amazon Lex chatbots, surfacing alignment with AWS best practices through public API and the Lex console. Designed and shipped across 11 AWS regions — end to end.

Benchmarked 12 LLMs on accuracy, latency, and cost. Built async pipeline with Step Functions, Bedrock, and DynamoDB. MapReduce architecture for parallel intent processing.

SMS input capture during live voice (IVR) calls without interrupting the session. Extended bot channel APIs to integrate AWS End User Messaging with Amazon Connect.

Evaluated native channel vs. Lambda-based extensibility. Chose control-plane-driven design for backward-compatible multi-channel growth. Delivered Private Beta across 4 teams.

Led automation of Lambda EventBridge control plane region builds — on the critical path for every new Lambda region launch. Replaced a fully manual expansion process, eliminating human error from the build sequence entirely.

Redesigned orchestration model and CI/CD pipeline. Parallelised serial IA-gating tasks. Onboarded to automated region config and resource provisioning systems.

Co-designed a multi-dimensional token bucket throttling system extending from account-level to Org ID and caller principal. Prevents cross-tenant traffic spikes from triggering availability incidents across the Lambda fleet.

Per-host local token cache with async background sync to central data plane. Throttle decisions removed from the request hot path. Load tested at ~7× normal traffic.