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Raj Shrinivasan
Principal AI Engineer specializing in agentic systems and cloud-native platforms
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About
Built a production RAG-powered analytics copilot at Aya Healthcare for operations leaders and analysts on a large healthcare staffing platform processing over a billion telemetry records annually. Stands out for strong production-minded agent engineering: deterministic orchestration, grounding-first design, deep observability, and data-driven workflow changes such as confidence-based human review for a PR review agent.
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Key Strengths
- Shipped production RAG analytics copilot end-to-end at Aya Healthcare
- Experience serving operations leaders and analysts at enterprise scale
- Built LLM systems over billion-plus telemetry records annually
- Strong reliability engineering for agentic systems
- Grounding-first architecture with deterministic orchestration and validation
- Robust post-launch maintainability via telemetry, replayability, and versioned prompts
- Proactive handling of retrieval drift as schemas and terminology evolve
- Designs agent loops as explicit state machines with clear stopping conditions and escalation paths
- Thoughtful guardrails for tool failure, unsafe inputs, hallucinations, permissions, and cost control
- Production backend orchestration expertise with async workflows, queues, streams, and persisted state
- Pragmatic latency/cost/reliability/safety tradeoff judgment based on task risk
- Mature evaluation strategy spanning deterministic checks, offline evals, and online observability
- Uses data to change agent behavior, e.g. confidence-based human approval for PR review agent
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