Sai Gundeti

About

Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.

Experience

Education

Key Strengths

• Shipped end-to-end full-stack internal finance ops dashboard at Uber (Next.js App Router + TypeScript) and owned it post-launch
• Reduced finance billing-mismatch investigation time from hours to minutes
• Improved frontend initial load time from ~6–7s to <2s by moving fetching to server components, adding pagination/caching, and reducing re-renders
• Designed Postgres reconciliation data model with strong integrity constraints (FKs, unique/idempotency keys, check constraints for balanced debits/credits)
• Optimized heavy Postgres query from several seconds to sub-200ms using composite/partial indexes and pre-aggregated summaries
• Built durable event-driven/Temporal-like orchestrated workflows with idempotency, retries/backoff, persisted state, DLQs, and reconciliation to handle duplicates/partial failures/timeouts
• Strong production engineering practices: observability from day one, pragmatic testing strategy, and bias toward simple maintainable architectures