![[For Hire] AI Voice Assistant Developer](https://external-preview.redd.it/gV6ckTgNyW9OoyEECpvAAUnuc9yE2JMuKp9vHSq-iic.jpeg?width=320&crop=smart&auto=webp&s=031bbf209b69047a19d87a81b5b544f3f090582e)
[For Hire] AI Voice Assistant Developer
My latest project is a real-time virtual co-founder called "Made with Chat". I’ve attached a quick demo of the pre-release version that I can share.
I’m currently available to take on my next project, preferably in the same niche, where I can apply the experience I got while working on MWC. I have 12 years of experience as a software engineer and have been working with AI integrations for the past three years.
I offer a free 30-minute consultation. Feel free to reach out by DM or on LinkedIn, and we can set up a meeting to discuss your project.
https://www.linkedin.com/in/theic/
The voice agent I developed has several distinctive features:
• Minimal latency, including voice control of the UI
• Turn-taking that works better than ChatGPT Voice
• The ability to run and manage multiple background tasks
• File-system based long-term memory
In more detail:
Minimal latency is achieved by using LiveKit Inference, which means that the providers in the voice pipeline (STT-LLM-TTS) share the same location. A fast LLM reads the live transcription and detects the user’s intent faster than the main voice pipeline. This is used for opening documents by voice and controlling other parts of the UI.
In addition to standard VAD, the system uses a semantic turn-taking model that understands when you have finished your thought. It also detects false interruptions, i.e. your coughing into the mic will not interrupt the response.
The system has two layers. The top layer is a voice agent with a minimal system prompt and a fast LLM. It sends instructions to a Deep Agent, which handles heavier and more time-consuming tasks. The Deep Agent has access to a set of skills and can create its own sub-agents.