Talka.ai
Z Sun has work experience in multiple roles related to machine learning and deep learning. They started their career in 2017 as a Deep Learning Accelerator Research Assistant at the University of Toronto, where they worked on FPGA-based CNN Training Engine and custom-precision floating-point mult/add cores. In 2018, they became a Deep Learning Architecture Research Assistant at the same university, focusing on a multi-FPGA ML framework and efficient model quantization. In 2019, they joined Intel Corporation as a Deep Learning Engineer, working in the field of deep learning. Currently, since 2021, they are employed as a Machine Learning Engineer at Talka.ai, where they are involved in cloud native microservice architecture and research on NLP and multi-modality ML framework.
Z Sun attended the University of Toronto from 2014 to 2019, earning a Bachelor's Degree in Computer Engineering.
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Talka.ai
Talka extracts business-critical insights from video and voice conversations. Human conversations are the bedrock of solid business and personal relationships. We are a team of previous researchers at Google AI, Facebook AI, Deepmind, and other AI research institutions working on conversational understanding that got together to tackle the deep problem of understanding conversations and improving human communications where it adds a significant business value.