Developed a comprehensive AI voice assistant platform that allows businesses to automate customer interactions over phone, SMS, and messaging apps. The system supports multiple languages, including mixed-language conversations, and is designed for rapid deployment in industries like healthcare, e-commerce, and real estate.

Designing a real-time voice interaction pipeline with high accuracy and low latency.

Integrating multi-channel communication (voice, SMS, messaging apps) into a seamless workflow.

Ensuring scalability to handle thousands of concurrent interactions.

Implementing natural language understanding (NLU) and text-to-speech (TTS) for multiple languages.

Maintaining data consistency and reliability across distributed AI services.

Designing an intuitive, responsive interface for non-technical users to manage AI agents.

Frontend Development: Built the platform interface using React, ensuring responsiveness and ease of use.

Backend Development: Implemented Python-based AI services for NLU, TTS, and workflow orchestration.

AI Integration: Developed pipelines for speech recognition, natural language understanding, and voice synthesis.

System Architecture: Designed scalable microservices architecture for multi-channel interaction support.

Analytics & Monitoring: Integrated real-time dashboards to monitor AI agent performance and interaction outcomes.

Automation & Deployment: Created tools for rapid deployment and configuration of AI agents without coding.

Delivered a fully operational platform capable of handling large-scale multi-language voice interactions.

Ensured seamless integration with business workflows, reducing manual customer support efforts.

Enabled businesses to automate complex customer interactions, improving efficiency and response time.

Demonstrated expertise in full-stack development, AI integration, and scalable architecture design.

Successfully deployed a platform that supports global clients, showcasing robust AI performance and reliability.