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CTO and co-founder LichenAI | AI Scientist, Advisor & Coach | Former Amazon Alexa, Cambridge University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
25+ years building AI technology
University of Cambridge
Doctor of Philosophy (PhD), Engineering / Automatic Speech Recognition / Artificial Intelligence
January 1, 2004 – January 1, 2008
University of Cambridge
MPhil, Speech, Text and Internet Technology
January 1, 2003 – January 1, 2004
University of Oxford
MEng, Engineering and Computer Science
January 1, 1999 – January 1, 2003
University of Cambridge
Certificate in Coaching
N/A – Present
Lichen AI
Co-founder & CTO
July 1, 2025 – Present
Tribe AI
AI Consultant
August 1, 2024 – Present
Cambridge, England, United Kingdom · Remote
Iprova
Board Advisor
January 1, 2024 – Present
Papercup
Head of Machine Learning (interim)
April 1, 2021 – September 1, 2022
Greater London, England, United Kingdom
Deeptech Labs
Advisor
March 1, 2021 – March 1, 2022
Cambridge, England, United Kingdom
Kingfisher Labs
Founder & CEO
August 1, 2020 – Present
Cambridge, England, United Kingdom
Cobalt Speech & Language
Director, Solutions Architect
January 1, 2019 – August 1, 2020
Greater Cambridge Area
Amazon
Manager, Applied Science, Amazon Alexa AI
October 1, 2016 – November 1, 2018
Greater Cambridge Area
Amazon
AI Speech Scientist, Amazon Alexa
June 1, 2014 – October 1, 2016
Greater Cambridge Area
University of Cambridge
Research Associate, Dialogue Systems Group
May 1, 2012 – May 1, 2014
Toshiba Research Europe Limited
Research Engineer, Speech Recognition
April 1, 2008 – May 1, 2012
Toshiba Research Europe Limited
Summer Intern
July 1, 2004 – September 1, 2004
Greater Cambridge Area
UK Civil Service
Summer Intern + Sponsored Undergraduate Student
July 1, 1999 – June 1, 2003
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards deep tech, AI research, and entrepreneurial ventures. Their experience spans large corporations (Amazon, Toshiba), academic research (University of Cambridge), and multiple startups/advisory roles. This diversity suggests adaptability and a broad understanding of different organizational cultures. However, the target role is 'Data Analyst', which is a significant shift from their primary experience in AI/ML research, engineering, and leadership. While their analytical skills are likely strong, the direct alignment with typical Data Analyst responsibilities (e.g., SQL, specific BI tools, dashboarding, A/B testing analysis) is not explicitly demonstrated in their experience descriptions. This could indicate a potential mismatch for a pure Data Analyst role, though their AI/ML background would be highly valuable in an advanced analytical or data science capacity.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership, advisory roles, and founding companies suggests strong soft skills in strategic thinking, team building, and client interaction. Their background in research and development indicates a methodical and problem-solving approach. However, the provided data does not include specific psychometric or English test results to directly assess communication clarity, work attitude, stress handling, or team collaboration in a structured manner.