An enterprise client was facing engagement friction from cold, robotic automated voice systems across customer-service channels and content platforms. I led the end-to-end strategy and technical delivery for a brand-aligned AI voice system built for natural, consistent communication in Spanish and English.

Lead AI Voice & TTS Specialist and End-to-End Solutions Architect. I led the voice strategy, baseline recording, custom application development, model alignment, and pipeline integration.

The existing voice experience felt robotic, production cycles were slow, and studio-led updates created unnecessary operating cost. The goal was a scalable voice system that retained a human, brand-aligned quality across content and customer communication.

Pain-point diagnosis and brand audit: Identified voice-quality issues, production bottlenecks, and brand requirements.

High-fidelity dataset recording: Recorded custom voice samples with Shure studio microphone equipment to establish a baseline dataset with appropriate intonation.

Model training and application development: Fine-tuned the AI voice model and built a custom application for audio-output optimization and quality control.

Multi-channel pipeline integration: Automated generation for e-learning, press and article narration, audiobooks, and IVR phone systems in Spanish and English.

A customized AI voice model aligned to the client’s tone and message.

A custom application for audio quality control and signal enhancement.

Automated narration workflows for e-learning, audiobooks, and IVR customer support.

Spanish and English voice pipelines for content and customer-service communications.

The work contributed to a 40% increase in retention for audio and video content through a smoother, more natural listening experience. Voice-production lead times and studio operating costs were reduced by 70%, while the client gained a unified, humanized voice across customer touchpoints without relying on traditional studio sessions for minor updates.

I followed the project’s quality criteria and specifications throughout recording, model alignment, and quality-control review. The final sound-quality evaluation received a 5/5 score, demonstrating reliable execution against the defined requirements.