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Vinay Naidu
Senior Full-Stack Java Developer specializing in Healthcare and FinTech
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Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.
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Key Strengths
- Shipped an LLM-powered incident assistant to production
- Reduced initial triage time by 30–40%
- Improved MTTR for engineering incident response
- Designs AI systems as non-blocking assistants with safe fallbacks
- Strong production reliability mindset for LLM systems
- Architects multi-step agent workflows with deterministic state management
- Uses strict schemas and structured JSON for robust downstream integration
- Builds offline and online evaluation loops for agent quality
- Improved reliability by adding insufficient-evidence handling to prevent hallucinated root causes
- Experienced integrating agents with messy operational data via normalization and validation layers
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