AI Engineer with 1+ years in Machine Learning & Computer Vision
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Assessing your cultural and operational fit
Recent Master's graduate in Computer Science specialising in Artificial Intelligence. Interested in analysing real-world data and building AI solutions for concrete problems.
Technical University of Munich
Erasmus+ Exchange · Advanced NLP, Social Computing, Data Mining
April 1, 2025 – August 1, 2025
University of Pisa
Master's Degree · Computer Science AI
October 1, 2023 – May 1, 2026
University of Pisa
Bachelor's Degree · Digital Humanities
September 1, 2020 – September 1, 2023
Liceo E. Montale, Pisa
High School Diploma · Foreign Languages
September 1, 2015 – June 1, 2020
Hitachi Rail
Intern Master's Thesis
November 1, 2025 – March 1, 2026
Florence, Tuscany, Italy
University of Pisa
Orientation Tutor
September 1, 2024 – June 1, 2025
Pisa, Tuscany, Italy
University of Pisa
Peer Tutor
September 1, 2022 – December 1, 2022
Pisa, Tuscany, Italy
Cultural Fit Analysis
The candidate's academic background in Digital Humanities for their Bachelor's degree, followed by a Master's in Computer Science AI, demonstrates intellectual curiosity and adaptability. The Erasmus+ exchange further highlights an openness to diverse environments and learning new perspectives. The tutoring roles suggest a collaborative and supportive nature. The focus on real-world AI solutions aligns well with a problem-solving culture.
Soft Skills & Operational Fit
The candidate's experience as an Orientation Tutor and Peer Tutor suggests good communication and interpersonal skills, as well as a willingness to support others. The internship at Hitachi Rail indicates an ability to work in a structured environment and contribute to a technical project. However, the overall professional experience is limited to academic and internship roles, which might require some operational ramp-up in a fast-paced industry setting.