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Soumya Nayak
Mid-level Software Engineer specializing in cloud-native systems and AI automation
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Software engineer with hands-on experience shipping production AI agents and end-to-end ecommerce workflows. They built a customer support automation agent with strong guardrails and evaluation practices, then improved it post-launch using real user data to cut latency ~30% and token cost ~25%. Also drove a zero-to-one self-serve order modification product across React UI, backend services, and cross-functional alignment.
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Key Strengths
- Shipped production AI customer support agent used by real customers
- Strong post-launch iteration using real conversation logs and failure pattern analysis
- Improved LLM system efficiency with structured tool calling, prompt compression, and intent routing
- Reduced response latency by about 30%
- Reduced token cost by about 25% while maintaining resolution quality
- Built human handoff and guardrail mechanisms for sensitive or low-confidence cases
- Owned end-to-end web and backend feature delivery
- Designed reliable backend services with idempotency, retries, circuit breakers, and audit logging
- Met sub-300ms P95 latency and 99.9% reliability targets
- Strong cross-functional zero-to-one execution under ambiguous requirements
- Pragmatic scoping and tradeoff decisions tied to support load reduction and revenue protection
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