Rishith Cheduluri

- Built a highly flexible agentic AI framework for production use integrating the OpenAI API: designed multi-turn intent classification, prompt-driven routing logic, and autonomous escalation workflows, handling 200+ weekly user interactions and reducing Tier-1 ticket volume by 30%; optimized response latency through prompt caching and fallback batching.
- Designed and shipped a React/TypeScript front-end component library across 3 live product surfaces; integrated with backend REST APIs and third-party services; wrote unit and integration tests for all features shipped, catching 15+ regressions before
release while reducing development time by 25%.
- Debugged and troubleshot issues across the full stack, front-end rendering, backend API responses, and AI agent behavior; maintained clean, well-organized code throughout and documented all application design decisions.

- Built a scalable Python/Node.js backend data pipeline and REST API integrating with external operational data sources: designed PostgreSQL schema, optimized queries, and implemented data validation, reducing errors by 90% and reporting
latency from hours to under 5 minutes; improved system throughput by eliminating manual bottlenecks.
- Developed front-end dashboards surfacing real-time KPIs via REST API integration; collaborated cross-functionally with product and operations teams to improve on-time deliveries by 20%.
- Wrote end-to-end tests for data pipeline workflows; contributed to continuous process improvement and authored technical documentation for maintainability.