Naman Matoliya

Fixed critical production bugs in a Silicon Valley AI audio startup: resolved API over-firing on episode rename, broken undo/redo, and real-time title/cover art sync across collaborators in shared projects. Led end-to-end development of the React Native mobile app — built Login/Signup flows, Kooliospace navigation, and a full Audiobook creation pipeline supporting text/document uploads, transcript generation, and audio synthesis.

Integrated

KoolAgent with ElevenLabs voice API for narrator/character voice switching; built background music controls (Intro/Outro/Throughout) and AI chat features including noise removal, pacing optimization, and prompt-based music generation.

Software Engineer Intern - Koolio.AI - Palo Alto, CA

(2026-05 - 2026-06)

• Fixed critical production bugs in a Silicon Valley AI audio startup: resolved API over-firing on episode rename, broken undo/redo, and real-time title/cover art sync across collaborators in shared projects.
• Led end-to-end development of the React Native mobile app — built Login/Signup flows, Kooliospace navigation, and a full Audiobook creation pipeline supporting text/document uploads, transcript generation, and audio synthesis.
• Integrated KoolAgent with ElevenLabs voice API for narrator/character voice switching; built background music controls (Intro/Outro/Throughout) and AI chat features including noise removal, pacing optimization, and prompt-based music generation.

Frontend Engineer Intern - WorkFall - Bengaluru, India

(2026-02 - 2026-05)

• Built cloud-ready, high-performance web interfaces using React, Next.js, TypeScript, and Vite, with complex server-side data flows managed via TanStack Query.
• Architected modular, component-driven systems with a focus on rendering efficiency, API performance, and maintainability at scale.

Frontend Developer Intern - Fieldproxy (YC W22) - Chennai, India

(2024-09 - 2024-12)

• Built scalable, reusable React components across V3 and V4 products, improving UI consistency and reducing developer ramp-up time.
• Developed a dynamic data grid with full CRUD over REST APIs, enabling real-time field operations for end users.
• Contributed to a proof-of-concept AI app builder using JSON-driven configuration schemas, enabling dynamic UI generation and cutting low-code setup time for field teams.
• Fixed critical UI bugs and improved drag-and-drop workflows, delivering measurable UX improvements.

AI Intern - Deevia Software - Bengaluru, India

(2023-01 - 2023-07)

• Developed computer vision models for object detection using YOLO architectures for an industrial defect detection system, achieving 71% accuracy.

B.E. - Computer Science - KLE Technological University (2019-08 - 2023-08)