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Sowmya Battu
Mid-level Full-Stack Software Engineer specializing in cloud-native platforms
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About
Amazon experience integrating LLM-powered chat automation into Amazon Connect contact-center workflows, taking prototypes to production with compliance-minded guardrails, schema/policy validation, and robust fallbacks. Regularly supports rollout and adoption via developer workshops, integration guides, and customer calls, with strong production triage and observability practices.
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Key Strengths
- Productionizing LLM features with layered guardrails (input constraints, output validation, operational controls)
- Designing reliable LLM systems with safe fallbacks (rollback, safer model, no-AI mode) based on user impact
- Strong observability mindset: logging/metrics plus monitoring fallback rates, latency, and error rates in production
- Real-time incident triage using blast-radius assessment (tenant vs many, workflow vs all) and failure-mode identification
- Developer-facing communication: leads technical walkthroughs/workshops focused on shipping safely to production
- Partnering with product/solutions/customer-facing teams to address objections (reliability/scale) and drive enterprise adoption
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