Toni Axelsson
ML EngineerDeep Learning Engineer
Univrses
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Deep Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Equally passionate about creating new machine learning based solutions as making sure that they do not get stuck at a “promising” proof of concept.
KTH Royal Institute of Technology
Master of Science (M.Sc.), Aerospace Engineering
January 1, 2012 – January 1, 2014
KTH Royal Institute of Technology
Bachelor of Science (B.Sc.), Engineering Physics
January 1, 2009 – January 1, 2012
Univrses
Deep Learning Engineer
January 1, 2023 – Present
Stockholm, Stockholm County, Sweden
Atlas Copco
Lead Data Scientist / Machine Learning Engineer
August 1, 2021 – March 1, 2022
Stockholm
Atlas Copco
Data Scientist
August 1, 2018 – August 1, 2021
Stockholm
Semcon
Machine Learning Engineer
October 1, 2017 – August 1, 2018
Greater Stockholm Metropolitan Area
Ericsson
Software Developer
August 1, 2016 – October 1, 2017
Greater Stockholm Metropolitan Area
ÅF
Software Engineer
March 1, 2015 – November 1, 2017
Stockholm
Scania
Software Developer
June 1, 2013 – August 1, 2013
Södertälje
Cultural Fit Analysis
The candidate has worked in various companies (Univrses, Atlas Copco, Semcon, Ericsson, ÅF, Scania) across different industries, suggesting adaptability to diverse work environments. The long tenure at Atlas Copco (over 3 years) indicates stability. However, the lack of detailed project descriptions makes it difficult to assess the diversity of challenges faced and how well they align with a dynamic, innovative culture. The target role of ML Engineer aligns well with their recent experience.
Soft Skills & Operational Fit
The candidate's resume indicates a progression into lead roles, suggesting potential for leadership and project ownership. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, problem-solving, or adaptability. The psychometric test score is not provided, limiting assessment of work attitude and stress handling.