SDE (ML + Dev)
Rimo LLC, Japan • Remote
- Architected and shipped RAG chat end-to-end, a production meeting transcript search system serving 800K users, on a 3-service microarchitecture (Go/Python + Cloud Run Jobs), with full ownership from design to deployment monitoring.
- Built a real-time SSE streaming pipeline combining BM25 + Dense vector search (Ruri embeddings), RRF, and RuriV3 reranking; reduced query latency by 12% handling ~6,500 req/sec in production.
- Designed an async distributed indexing system on GCP Cloud Run Jobs (NVIDIA L4 GPU) for chunking, embedding generation, and MongoDB Atlas writes, decoupled from the API layer to eliminate resource contention at scale.
