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Devisri Veeramachaneni
Senior Software Engineer specializing in cloud backend systems and LLM-powered agents
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About
Amazon Fire TV Devices engineer who built and shipped a production LLM-powered lab triage and validation system that grounds recommendations in internal runbooks/known-issue data and pushes evidence-based actions via dashboards and Slack. Emphasizes safety and measurability with structured JSON outputs, replay-based evaluation on historical incidents, and production metrics (e.g., disagreement rate and time-to-first-action), plus cost/latency optimizations like caching, batching, and rule-based fast paths.
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Key Strengths
- Built and deployed an LLM-powered triage/validation system to production for Fire TV device labs
- Strong focus on reliability and safety (grounded RAG, structured outputs, safe fallbacks)
- Data-driven LLM evaluation using historical incident replay datasets and regression controls
- Production measurement mindset (disagreement rate vs engineers, time-to-first-action, insufficient-evidence rate)
- Cost/latency optimization at scale (caching, batching, rule-based fast paths)
- Designs AI agents as deterministic workflows with LLMs embedded only where they add value
- Effective cross-functional collaboration with non-technical ops/lab stakeholders to deliver usable AI outputs
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