Suzuki Taro | Full Stack & AI Engineer

Recently I developed voice_convertor application which can work fully offline.
The client asked me to build it was musician (my thought) from Los Angels. He was a fan of Michael, a well-known singer in his region and had been using Voqul to convert othe similar singer's voice into that Michael's style. But, he faced several limitations, which the tool was cloud based, had unstable connectivity, and the output quality was inconsistent.

He asked me to build a fully offline solution with higher-quality results and real-time capabilities.

To train the model, he provided around 20 audio tracks (each ~3 minutes long). Based on this dataset, I developed a voice conversion system that runs entirely offline. The application includes the following features (actually this is a simple app).

1. File-to-file voice conversion

2. Real-time voice streaming

3. Pitch control for fine-tuning output

4. Optimized inference for low-latency performance

Hi, I m a senior full stack & AI engineer(https://github.com/hectorr-st) based in Japan.

I specialize in building scalable, production-ready systems across SaaS platforms, AI-powered applications, and automation tools. My experience includes developing AI assistants, voice AI systems, LLM-based workflows, and high-performance web applications from scratch to deployment.

I focus on delivering clean architecture, efficient backend systems, and intuitive user experiences. Whether it s designing complex APIs, integrating AI into real-world products, or optimizing performance at scale, I aim to build solutions that are not only functional but impactful.

I m particularly interested in collaborating with ambitious builders and teams working on meaningful, forward-thinking products. If you're looking for someone who can take ownership, move fast, and turn ideas into solid, scalable systems, I d be glad to connect.