Senior Software Engineer (AI Platform) · Brinqa
- Scaled an AI pipeline (embedding generation, vector clustering, LLM synthesis) from prototype to production, from 1M to 50M records
- Profiled and optimized a distributed system (Python, Spring, ActiveMQ, YugabyteDB, BigQuery) at 50M-record scale; cut processing time from over 24 hours, and failing, to a reliable 6 hours
- Cut BigQuery cost 98.5% by removing a query that scanned a 2-billion-row table on every delete batch
- Built LLM guardrails and evaluation: deterministic checks that screen tens of thousands of production outputs per run for hallucinations