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CEO, PolyAI | AI agents for enterprises
Co-founder and CEO of PolyAI, a leading supplier of Conversational AI for automated customer service. We provide leading enterprises in the US / UK with superb voice-based digital assistants. We build robust and scalable voice assistants for customer service, providing human-level customer experience coupled with substantial operational efficiencies. Voice is notoriously difficult to automate due to idiosyncratic speech and background noise, but the demand for voice-based customer support is persistent. I am very proud of my team at PolyAI, who have created the first enterprise-ready voice assistant that really works in practice. We are passionate about language and believe that conversational technologies should be language agnostic. That’s why we developed a machine learning model that can understand almost any world language - and why the company was named PolyAI. Before starting PolyAI, I worked with the Apple Siri team in Cambridge, and I was the first engineer at VocalIQ, a dialogue systems startup acquired by Apple. I did my Ph.D. at Cambridge, working with Professor Steve Young. Prior to that, I did the Cambridge Computer Science Tripos, including a Master's thesis on Bayesian machine learning with Professor Zoubin Ghahramani.
University of Cambridge
Doctor of Philosophy (Ph.D.), Machine Learning, Natural Language Processing
N/A – Present
University of Cambridge
Master's Degree, Computer Science
N/A – Present
University of Cambridge
Bachelor of Arts (Hons), Computer Science with Mathematics
N/A – Present
PolyAI
Co-founder & CEO
November 1, 2017 – Present
San Francisco Bay Area
Apple
Machine Learning Researcher
September 1, 2015 – October 1, 2017
Greater Cambridge Area
VocalIQ Limited.
Machine Learning Researcher
July 1, 2014 – September 1, 2015
Greater Cambridge Area
Cultural Fit Analysis
The candidate's background is heavily skewed towards research, machine learning, and entrepreneurial leadership in AI. While these are highly technical fields, the target role of 'Data Analyst' typically involves more direct data manipulation, reporting, and business intelligence, which is not explicitly highlighted in their experience. The candidate's profile suggests a strong drive for innovation and building, which could be a good cultural fit for a dynamic environment, but their direct alignment with the day-to-day responsibilities of a Data Analyst is not clearly demonstrated. The lack of diverse project types outside of AI/ML could indicate a narrower focus than some data analyst roles might require.
Soft Skills & Operational Fit
The candidate's experience as a Co-founder & CEO suggests strong leadership, strategic thinking, problem-solving, and communication skills. Their involvement in a startup and research roles indicates adaptability and a proactive approach. However, specific operational fit for a Data Analyst role, which often requires detailed data manipulation and reporting, is not explicitly detailed in the provided experience descriptions.