Backend engineer focused on Java / Spring Boot and production LLM systems.
Years on the JVM doing the unglamorous architecture work β concurrency, JPA, idempotent APIs, multi-module gateway design. I apply the same discipline to AI products: streaming pipelines, multi-tenant permissions, RAG that doesn't hallucinate prod data, and trading systems that survive real markets.
- Backend: Java 17 / Spring Boot 3, PostgreSQL, Redis
- LLM: Spring AI, AWS Bedrock, pgvector RAG, SSE streaming, Python (agents & eval)
- Infra: Docker, Kubernetes, GitHub Actions, multi-repo gateway architectures
- Production LLM infra on a multi-service AI BI platform β per-tenant model routing, column-level access enforcement, SSE streaming
- crypto-signal-trader β turning noisy Discord trading signals into auditable trades with an LLM eval harness
See pinned repositories below.



