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Sai Arvind
Mid-level Full-Stack Engineer specializing in AI-powered internal tools
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Backend/platform engineer with strong ownership of production systems, including a full Azure migration from a VM-based monolith to a containerized, event-driven microservices architecture. They combine cloud infrastructure, LLM/RAG optimization, and pragmatic stakeholder management, with measurable wins including 90% infra cost reduction, faster deployments, and significantly improved latency and token efficiency.
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Key Strengths
- Owned end-to-end backend migration from VM monolith to containerized event-driven Azure architecture
- Reduced infrastructure cost by 90% from $100/day to $10/day
- Improved deployment time from 20 minutes to 5 minutes
- Reduced RAG P95 latency by 35%
- Cut token usage by 40%
- Strong stakeholder management around security-cost tradeoffs
- Incremental migration strategy using Strangler Fig pattern with hybrid legacy/microservices coexistence
- Production deployment expertise with blue-green rollouts and rollback safety
- Debugged non-deterministic RAG issues through structured logging and retrieval analysis
- Built reliable document/invoice processing workflows for messy real-world inputs
- Designed secure, cost-efficient cloud architectures using VNet isolation and controlled access patterns
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