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Technical Consultant at Advania
Medical engineer turned developer due to my fascination with the creativity of building my own software from scratch where I can make useful sense of otherwise incomprehensible data. From working at two e-health start-ups I have hands on experience building AI applications from scratch demanding real time processing of data. Latest addition are some Data Engineering skills (ELT, MLOps etc) from working at a large Swedish retailer and a fast growing Icelandic logistics company.
KTH Royal Institute of Technology
Master's degree, Medical Engineering
January 1, 2013 – January 1, 2015
Háskóli Íslands
Bachelor of Science (BSc), Mechanical Engineering
January 1, 2009 – January 1, 2012
Advania Ísland
Technical Consultant
September 1, 2022 – Present
Reykjavík, Capital Region, Iceland
Controlant
Data Engineer
September 1, 2021 – August 1, 2022
Iceland
Clas Ohlson
Data Engineer
August 1, 2020 – August 1, 2021
Stockholm County, Sweden
Nectarine Health
Machine Learning Engineer
October 1, 2016 – June 1, 2019
Stockholm, Sweden
Magnea
Co Founder & Algorithm Developer
May 1, 2015 – December 1, 2016
Stockholm, Sweden
Center for technology in medicine and health
Medical Engineer
January 1, 2015 – January 1, 2015
Reinertsen
Consultant Engineer
November 1, 2012 – July 1, 2013
Oslo Area, Norway
Landsvirkjun
Intern
July 1, 2012 – August 1, 2012
Krafla, Iceland
Motivation and Quantification of Physical Activity for Hospitalised Cancer Patients
June 1, 2015 – Present
Master thesis done in collaboration with the Clinical Innovation Fellowship program at the Center for Technology in Medicine and Health. The project included activity recognition from an accelerometer and machine learning algorithm (SVM). Link: http://www.diva-portal.se/smash/get/diva2:846760/FULLTEXT01.pdf
Medical Engineering Project Course
September 1, 2014 – January 1, 2015
Group Project: Detecting various EEG signals and use them in the control of a robot arm. - Processing raw EEG data achieved from a EPOC headset and developing Matlab algorithms for detection and communication. - Establishing wireless connection between the brain-computer interface and an arduino controlling the robot arm. - Set up of a position and a pressure feedback for the robot arm and connection to indicate the state to the user.
Cultural Fit Analysis
The candidate has a diverse background spanning medical engineering, machine learning, and data engineering across various companies, including startups and larger organizations. This breadth of experience suggests adaptability and a willingness to tackle different challenges. The projects in medical engineering and health tech align well with roles requiring analytical rigor and impact-driven work. However, the target role is 'Data Analyst', while the candidate's recent roles are more aligned with 'Data Engineer' and 'Machine Learning Engineer'. This might indicate a slight mismatch in the depth of analytical focus versus engineering implementation, which could impact cultural fit for a pure data analyst role.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and Algorithm Developer, along with roles involving usability testing and management meetings, suggests strong initiative, problem-solving, and collaboration skills. The descriptions of setting up CI/CD and automated testing indicate a focus on operational excellence and quality. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.