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AI Engineer with 1+ years in Machine Learning & Cloud Computing.
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Assessing your cultural and operational fit
Data Science Professional holding an MSc in Environmental Data Science and Machine Learning from Imperial College London. Experienced in AI model development, end-to-end data engineering, and commercial product development within the European Space Agency.
Imperial College London
MSc · Environmental Data Science and Machine Learning
August 1, 2024 – June 30, 2025
University College Dublin
BSc · Sustainability with Environmental Sciences
August 1, 2020 – June 30, 2024
Geoskop
Product Engineer
October 1, 2025 – Present
Barcelona, Catalonia, Spain
European Space Agency
AI engineer
May 1, 2025 – September 1, 2025
Gemeente Noordwijk, South Holland, Netherlands
Cultural Fit Analysis
The candidate's academic background in Environmental Data Science and Sustainability, coupled with work experience at the European Space Agency and a climate analytics startup (Geoskop), indicates a strong interest and alignment with roles that have a positive environmental or scientific impact. This suggests a good cultural fit for organizations focused on sustainability, climate tech, or space exploration. The diversity of projects, from deep learning model development to full-stack platform building, shows adaptability and a broad skill set.
Soft Skills & Operational Fit
The candidate's experience in translating user needs into features and validating market opportunities at Geoskop suggests strong product sense and problem-solving skills. Their work at ESA on assessing AI integration opportunities and cost-efficiency trade-offs indicates an analytical and strategic mindset. The description of improving usability and operations through workflow automation points to an operational efficiency focus.