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Kavya Myakala
Mid-level Frontend Developer specializing in security analytics dashboards
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About
Built and shipped production LLM agents including an end-to-end customer support resolution system (99.9% uptime target) that improved customer satisfaction by ~18% and reduced the need to scale support headcount. Demonstrates strong agent engineering fundamentals—tool-based orchestration, schema-first structured outputs with deterministic validation, and robust eval/monitoring loops—plus experience integrating agents with messy ERP data using canonical normalization and safe fallbacks.
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Key Strengths
- Shipped LLM customer support resolution agent to production with 99.9% uptime target and human-fallback routing
- Drove ~18% improvement in customer satisfaction via faster, consistent support responses
- Reduced support scaling needs through automation (cost savings)
- Architected multi-step agent workflow using strict tool interfaces with LLM as planner
- Implemented schema-first structured outputs with JSON Schema validation, rejection/retry, and deterministic checks
- Improved agent task success rate by 12% after addressing third-party API change with better error handling/interface updates
- Designed canonical schema normalization/validation layer for messy ERP data and fail-safe escalation/no-op behavior
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