Rathna Chinthalapalli is a frontend-focused software engineer with 10 years of experience building AI-native products that treat AI as a first-class, persistent part of the user experience. Currently at Lume in the San Francisco Bay Area, they design and implement persistence-driven AI workflows, document-aware generation, and context-aware UI patterns using Next.js, TypeScript, PostgreSQL, Prisma, and OpenAI APIs. Rathna’s work spans full-stack architecture and state management—introducing features like staleness detection and query-driven generation storage to make AI outputs reliable and reusable rather than ephemeral. Previously they contributed to Svelvet, helping ship a version that boosted engagement by 20% and supporting a healthy open-source ecosystem with thousands of stars and downloads. They combine a designer’s attention to minimal, usable interfaces with backend rigor, and are particularly interested in how AI reshapes product design and long-term UX.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The University of British Columbia
Bachelor's degree Mathematics and Computer Science, Bachelor's degree Mathematics and Computer Science at Osmania University
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