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Software Engineer | AI & Analytics
Currently working with applying agentic models within the field of cybersecurity, enabling new ways of interacting with, and acting on, vast amounts of data. I have a broad background within data science and machine learning, having previously worked with statistical quality assurance of ground truth data, as well as developing and implementing methods for verification of AD and ADAS systems, using statistical simulation and scenario based testing to verify complete AD feature performance. I have a degree in Engineering Physics and a Master's degree in Complex Adaptive Systems. My special interests lies in the fields of data science, statistics, and machine/deep learning.
Chalmers tekniska högskola / Chalmers University of Technology
Master's degree, Complex Adaptive Systems
January 1, 2015 – January 1, 2017
Chalmers University of Technology
Bachelor's degree, Engineering Physics
January 1, 2012 – January 1, 2015
Recorded Future
Software Engineer
September 1, 2025 – Present
Göteborg, Västra Götalands län, Sverige
Kognic
Data Scientist
June 1, 2020 – November 1, 2025
Göteborg, Västra Götaland, Sverige
ZENUITY
Data Analyst - Complete feature verification
January 1, 2019 – June 1, 2020
Göteborg, Sverige · On-site
Berge
Deep learning consultant
August 1, 2017 – January 1, 2019
Göteborg, Sverige
Combitech Sverige
Master Thesis Student
January 1, 2017 – June 1, 2017
Göteborg, Sverige
Ica Maxi
Store employee
May 1, 2011 – May 1, 2017
Haninge, Sweden
Saab
Summer internship
June 1, 2010 – August 1, 2010
Järfälla, Sweden
Cultural Fit Analysis
The candidate's career trajectory shows a clear focus on data science and analysis within various industries (autonomous driving, predictive maintenance). The roles at Kognic and ZENUTIY align well with a data-driven culture. The breadth of experience from research to deployment indicates adaptability and a willingness to tackle diverse challenges. The target role of Data Analyst aligns well with the candidate's past roles and demonstrated skills.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with engineers, leading research initiatives, and developing new routines, suggesting strong teamwork and initiative. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.