At AWS OpenSearch, I build and operate customer-facing search systems, from distributed storage architecture to live-site reliability.
I helped re-architect a search engine into a plugin-based composite storage engine, improving prototype aggregation performance by up to 4x. I also designed a Bloom-filter index path that reduced memory use by 40% for low-cardinality fields.
I integrated LiquidCache to accelerate filter pushdown, cutting query time by 3x and lowering compute cost, and redesigned coordinator allocation into a shared multi-tenant model that reduced infrastructure cost by 4x while preserving tenant isolation.
I build production LLM-powered RAG agents and concurrent Go observability tooling, and I bring prior backend experience from PwC and Amazon across Java, Spring Boot, REST APIs, and procurement integrations.
