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Full-stack developer at Everllence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have a Ph.D. in Bioinformatics, but have also worked as a Software Engineer at Google and currently work with Machine Learning at a Cambridge start-up. I consider myself good at solving problems and making things work in practice. I enjoy and am interested in job roles on the edge between software engineering and research - roles with room to experiment and invent, but where the end product will be used in practice and isn't just abstract research.
Aarhus University
Ph.D., Computer Science / Bioinformatics
January 1, 2007 – January 1, 2011
Aarhus University
M.Sc., Computer Science
January 1, 2006 – January 1, 2009
Aarhus University
B.Sc., Computer Science
January 1, 2003 – January 1, 2006
Everllence
Full-stack Developer
December 1, 2023 – Present
Copenhagen, Capital Region, Denmark · Hybrid
twig.energy
Senior Machine Learning Engineer
December 1, 2022 – October 1, 2023
Copenhagen, Capital Region, Denmark · Hybrid
Secondmind
Senior Research Engineer
October 1, 2021 – October 1, 2022
Cambridge, England, United Kingdom
Secondmind
Senior Machine Learning Engineer
November 1, 2017 – October 1, 2021
Cambridge, England, United Kingdom
Secondmind
Senior Software Engineer
May 1, 2017 – November 1, 2017
Cambridge, England, United Kingdom
Software Engineer
September 1, 2011 – April 1, 2017
Munich, Germany
Aarhus University
Ph.D. student
August 1, 2007 – July 1, 2011
GPflow
October 1, 2021 – Present
A Python library for Gaussian Processes in TensorFlow.
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, large tech companies (Google), and specialized ML startups (Secondmind, twig.energy). The project 'GPflow' and roles at Secondmind align well with a research-oriented ML culture. The recent 'Full-stack Developer' role at Everllence is a deviation from the ML focus, which might indicate a broader interest or a temporary role. The overall breadth of experience suggests adaptability, but the direct alignment with a pure ML Engineer role might require further validation on current ML practices given the recent full-stack role.
Soft Skills & Operational Fit
The candidate's resume indicates experience in customer-facing teams and leading projects (Tech Lead at Google), suggesting good communication and leadership potential. The description of supporting researchers implies a collaborative mindset. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.