Founder & CEO @ AirDodge - Drone Traffic Management
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Purpose driven and experienced in managing and building teams of machine learning/data engineers. I have experience in building software teams and products from the ground up. Currently building AirDodge, which develops U-Space software i.e air traffic control for drones
KTH Royal Institute of Technology
MSc in Embedded Systems, Machine Learning
January 1, 2015 – Present
University of Illinois Urbana-Champaign
Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering
January 1, 2008 – January 1, 2013
Antler
Cohort Member Fall 2023
July 1, 2023 – May 1, 2024
Oslo, Norway · On-site
AirDodge
Founder & CEO & Chairman
May 1, 2022 – Present
Oslo, Norway · On-site
Skyqraft
Board Member
March 1, 2019 – January 1, 2023
Skyqraft
Co-Founder | Chief Technical Officer
November 1, 2018 – March 1, 2022
Antler
Antler Stockholm Cohort Member Jan '19
November 1, 2018 – March 1, 2022
Stockholm, Sweden
ProCori SMC
Machine Learning Developer
July 1, 2017 – December 1, 2017
Stockholm, Sweden · On-site
Royal Institute of Technology
MSC Project: Specialising in Machine Learning
January 1, 2017 – March 1, 2022
Stockholm, Sweden · On-site
DENSO
Technical Project Manager, Autonomous Driving
August 1, 2016 – December 1, 2016
Smart Mobility Lab, Kungliga Tekniska Hogskolan, Stockholm, Sweden · On-site
Royal Institute of Technology
Research Engineer: Autonomous Driving
June 1, 2016 – August 1, 2016
Stockholm, Sweden · On-site
Cultural Fit Analysis
The candidate's background is heavily skewed towards entrepreneurial ventures and leadership roles in startups (AirDodge, Skyqraft, Antler). While this demonstrates initiative and a broad skill set, it might indicate a preference for high autonomy and strategic influence, which may or may not align with a typical ML Engineer role in a larger, more structured organization. The focus on drones and autonomous systems aligns well with certain industry sectors. The lack of diverse project types outside of their own ventures could be a point of consideration for cultural fit in a different environment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, program management, product management, and strategic thinking skills through their founder and CTO roles. Experience with Agile Methodologies, cross-functional team leadership, and vendor relations suggests good operational fit. The entrepreneurial background indicates a proactive and problem-solving mindset, which is valuable for an ML Engineer role that often requires innovation and independent problem-solving.