computer vision engineer at Blackswan Space
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Research Engineer interested in applying machine learning to hard computer vision problems
UCL
Master of Science - MSc, Machine Learning
January 1, 2017 – January 1, 2018
Queen Mary University of London
Phd, Computer Science
January 1, 2001 – January 1, 2005
University of Birmingham
masters, physics
January 1, 1993 – January 1, 1997
Blackswan Space
Computer Vision Engineer
April 1, 2024 – Present
Remote
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Cultural Fit Analysis
The candidate has a diverse background spanning academia, finance, and cutting-edge ML/Computer Vision startups. This breadth of experience suggests adaptability and an ability to thrive in different environments. Their focus on research and novel solution development aligns well with an innovative culture. The long career trajectory, including multiple roles in different sectors, indicates a willingness to learn and pivot. However, the lack of explicit project details beyond job descriptions makes it difficult to fully assess cultural alignment with specific team dynamics or company values.
Soft Skills & Operational Fit
The candidate's experience as a Research Team Lead and Lecturer suggests strong leadership, mentoring, and communication skills. Their work on client communication and presentations also indicates good interpersonal abilities. The diverse project history, including academic research and industry roles, points to adaptability and a structured approach to problem-solving. However, without specific psychometric test results, a detailed assessment of stress handling or team collaboration is not possible.