Riddhi Thakkar

Integrated and debugged AI-powered APIs for real-time media systems including text-to-speech (TTS) and voice synthesis pipelines. Built backend services in Python and TypeScript to support AI model inference, API orchestration, and asynchronous voice generation workflows. Stabilized early-stage AI systems by identifying and fixing production bugs, reducing API failure rates and improving system reliability under load. Implemented secure API handling, rate limiting, and retry mechanisms for stable third-party AI service integration. Improved end-to-end voice processing latency through optimized request handling and caching strategies. Notable projects included AI Voice Cloning Integration and Stability System (2025) and AI Media Pipeline Debugging Toolkit (2024).

Developed React/TypeScript front-end components and responsive UI for high-traffic applications. Integrated front-end with REST APIs and GraphQL endpoints for secure, real-time transactions. Ensured accessibility, cross-browser compatibility, and mobile responsiveness for diverse user base. Collaborated remotely with stakeholders to gather requirements and iterate designs quickly. Implemented unit and integration testing with Jest and React Testing Library. Configured CI/CD pipelines and monitored deployments to maintain production reliability.

Built and maintained production SaaS systems using React, Python, and PostgreSQL supporting analytics and automation workflows. Integrated third-party APIs for data processing, automation, and reporting pipelines in enterprise environments. Debugged production issues across backend services, improving system uptime and API reliability. Collaborated with cross-functional teams to ship scalable features in fast-paced Agile environments.