As a UC Berkeley graduate with abundant experience in building web applications and data science experiments, I'm confident in my capability to create a powerful, easy-to-use voice assistant embedded within telephony systems like the Asterisk. My past involvement with similar technologies including Raspberry Pis, security cameras, GPT3, T5, and custom transformer implementations equips me well for your project.
My proficiency in AGI scripting and familiarity with AI-driven voice response technologies makes me the ideal developer for this task. I'm more comfortable working with Large Language Models (LLMs), language modeling, topic modeling, text analytics, word/transformer embedding, OCR and document parsing to guarantee accurate transcription and delivery of natural voice responses.
Additionally, my skills in API handling are strong; this aligns perfectly with your requirements to send voice transcription to OpenAI via APIs and convert their responses into natural voices for the caller. My track record of handling massive quantities of data combined with my strong coding ability in Python (especially Django Rest Framework) will certainly facilitate a seamless integration of your telephony system with OpenAI APIs. Together, we can create a dynamic AI-powered experience for your customers that is sure to elevate your customer support significantly.