Stephen Bahr

I’m a Senior Software Engineer with 11+ years architecting large-scale AI platforms, distributed systems, and backend infrastructure. I specialize in building production services that deliver low-latency, reliable outcomes—often for mission-critical healthcare workflows.

In my most recent role, I architected an end-to-end LLM inference platform using Python FastAPI and Go microservices, delivering patient engagement systems with 97ms p95 latency and 2.1M daily API requests. I led design of event-driven AI response streaming, reducing WebSocket connection failures by 73% for 50K concurrent healthcare users.

I also drove RAG pipeline infrastructure using Pinecone and LangChain, improving semantic retrieval accuracy by 34% through fine-tuned embeddings and multi-agent orchestration. My approach emphasizes observability and fast detection—implementing Prometheus, Grafana, and Datadog to reduce mean time to detection by 58 minutes across 10 microservices.

Across product, research, and security teams, I’ve focused on technical leadership and compliant delivery—especially in HIPAA-aligned systems. I build “golden path” CI/CD using Jenkins, Terraform, and Docker on AWS EKS for zero-downtime deployments, and I mentor teams to elevate system design for interoperability at scale.