Sai Krishna Devarasetti

About

Full-stack engineer with 6+ years of experience building high-scale internal products and AI-powered workflows, including a U.S. Bank payment operations dashboard handling 500k+ transactions and real-time analyst collaboration. Stands out for true end-to-end ownership—from React/TypeScript frontend architecture to Node/Spring services, PostgreSQL/Redis optimization, Kubernetes deployment, and Datadog monitoring—plus measurable impact on adoption, latency, and analyst efficiency.

Key Strengths

• End-to-end ownership across frontend, backend, data layer, deployment, and monitoring
• Built production React systems for high-volume workflows with 500k+ transaction records
• Strong real-time collaboration architecture using WebSockets, context, and reducer patterns
• Performance optimization at scale with virtualization, memoization, code splitting, and backend query tuning
• Data-driven product iteration with direct user feedback loops and sprint-based enhancements
• Applied TypeScript strict mode, discriminated unions, shared types, and Zod validation for safe refactoring
• Shipped AI-powered transaction review workflow with override feedback loop and prompt tuning
• Pragmatic 0-to-1 builder who prioritizes core workflows and makes smart speed-vs-quality tradeoffs
• Improved dashboard adoption from 40% to 85% by adding AI confidence indicators
• Reduced manual triage time by 55% with AI-assisted transaction classification
• Cut page load/render performance significantly, including render time from 8+ seconds to ~400ms
• Delivered benefits platform for 50,000+ employees with 99.5% uptime
• Reduced support tickets by 25% on large-scale employee benefits rollout

Experience

Education

Awards

• Accenture ACE Award

Skills

Languages

Certifications