Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Builds and deploys production ML models for real-time voice AI agents, fine-tuning LLMs and audio models, running benchmarks and human evaluations, and maintaining ML infrastructure for high-scale performance.
Conducts ML research on LLMs and audio models to enhance real-time voice agents' reasoning, latency, and conversational quality. Prototypes models, designs evaluations, and bridges research to production systems requiring strong PyTorch expertise and experimental mindset.
Builds and deploys production ML models for real-time voice AI agents, fine-tuning LLMs and audio models, running benchmarks and human evaluations, and maintaining ML infrastructure for high-scale performance.