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Senior Autonomy Engineer @ Field AI | Ex-NASA JPL
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 am a Robotics Technologist at NASA Jet Propulsion Lab. My interests lie primarily in reliable perception for robotics. More specifically in robust Machine Learning, Uncertainty Estimation, and Computer Vision.
DTU - Technical University of Denmark
Doctor of Philosophy - PhD
December 1, 2019 – January 1, 2023
DTU - Technical University of Denmark
Master’s Degree, Computer Software Engineering
January 1, 2015 – January 1, 2017
Keio University
Master’s Degree, Computer Software Engineering
January 1, 2015 – January 1, 2016
DTU - Technical University of Denmark
Bachelor's Degree, Computer Software Engineering
January 1, 2012 – January 1, 2015
Aurehøj Gymnasium
High School
January 1, 2009 – January 1, 2012
FieldAI
Senior Machine Learning Engineer
September 1, 2025 – Present
NASA Jet Propulsion Laboratory
Robotics Technologist III
May 1, 2023 – Present
La Canada Flintridge, California, United States · On-site
NASA Jet Propulsion Laboratory
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Pasadena, California, United States
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Software Developer
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Swimming Coach
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Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, Robotics, and academic research, which is a significant mismatch for a 'Frontend Developer' target role. While the candidate has early career experience as a 'Software Developer', the recent and extensive experience is not aligned with frontend development. The diversity of projects is limited to ML/Robotics, not frontend technologies. This indicates a poor cultural fit for a dedicated frontend role.
Soft Skills & Operational Fit
The candidate's resume indicates a strong academic and research-oriented background, suggesting analytical thinking, problem-solving, and dedication. The roles at NASA JPL and FieldAI imply an ability to work in high-stakes, complex environments. However, without psychometric test results or detailed project descriptions, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.