Krishna Sai Reddy Lella

About

Backend engineer with end-to-end ownership experience on a real-time AI-driven payment authorization/orchestration platform at PayPal. They describe strong fintech systems depth across Java/Spring/Kafka microservices, database and latency optimization, and reliability engineering, with concrete impact including 35% fewer processing failures, latency reduced from 420ms to 140ms, 1,200+ weekly manual reviews eliminated, and 40% faster incident response.

Key Strengths

• end-to-end ownership of production backend systems
• real-time payments and fintech backend expertise
• resilient distributed systems design
• latency and database performance optimization
• measurable operational impact
• AI-integrated backend workflow design with rule-based safeguards
• incident ownership and prevention in high-stakes systems
• strong observability and reliability engineering
• navigating ambiguity in early-stage product development
• cross-functional stakeholder alignment
• Shipped end-to-end self-serve subscription cancellation flow (backend + frontend) replacing manual support process
• Designed safe, trackable subscription state changes with idempotent APIs to handle retries/double-clicks
• Billing/payment provider synchronization (Stripe) with robust error handling and logging
• Customer-facing product engineering focus (70–80% application-layer work)
• Improved retention funnel via save-offer step (pause/downgrade) and captured churn reasons for insights
• Reduced support tickets after rollout (self-serve cancellation)
• Built production Python/FastAPI services with layered architecture, JWT/RBAC, tests, and observability
• Performance optimization via query/index tuning and offloading heavy work (webhooks) to async jobs
• AWS production operations and incident response: diagnosed latency spike, optimized DB usage, and scaled services

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