I build and improve AI-powered voice applications that combine speech recognition, conversational logic, APIs, business workflows, and mobile experiences.

A useful voice assistant needs more than speech-to-text. It needs to understand intent, determine the correct action, securely interact with external systems, and return a fast, natural response.

I can help with new conversational products or existing AI applications that need stronger architecture, additional capabilities, integrations, or performance improvements.

Typical functionality includes:

• Speech-to-text and voice input • Natural language understanding • Text-to-speech responses • Conversational AI workflows • Multilingual voice experiences • AI assistant and agent architecture • Voice-triggered actions • Mobile application integration • API and third-party integrations • Calendar, weather, news, and productivity skills • IoT and smart-device control • Personalized briefings • Privacy-sensitive on-device processing • Existing AI system audits and improvements

One voice assistant I worked on reached 50,000+ active users, supported 12 languages, and achieved 96% speech recognition accuracy in noisy environments.

The system used Whisper for speech recognition, custom TTS models, and a modular skill architecture that allowed capabilities such as weather, calendar, IoT control, and news to operate through a common conversational interface.

My focus is not simply connecting an AI API. I design the surrounding architecture so the assistant can reliably turn user intent into useful actions.