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Research Scientist at Canva | PhD Student on 3D Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
National & Kapodistrian University of Athens
Doctor of Philosophy - PhD, Computer Science
December 1, 2020 – December 1, 2026
University of Southampton
Master’s Degree, Data Science
January 1, 2016 – January 1, 2017
National Technical University of Athens
Engineer’s Degree, Electical and Computer Engineering
January 1, 2008 – January 1, 2016
Canva
Research Scientist
January 1, 2025 – Present
Greece · Remote
Meta
Research Scientist Intern
June 1, 2024 – December 1, 2024
London Area, United Kingdom · On-site
"Athena" Research and Innovation Center
Scientific Associate
December 1, 2020 – December 1, 2023
Athens, Attiki, Greece
FiveAI
Software Engineer (Machine Learning)
September 1, 2017 – November 1, 2020
Cambridge, United Kingdom
Hellenic Army
Private
November 1, 2014 – July 1, 2015
Greece
National and Kapodistrian University of Athens
Web Developer
January 1, 2014 – January 1, 2015
Greece
Webflow.gr
Frontend Developer (Voluntary Work)
September 1, 2013 – February 1, 2014
Greece
Petros Petropoulos AEBE
Sales Representative (Voluntary Work)
July 1, 2011 – July 1, 2011
Greece
C&M Engineering S.A.
Electrical Engineer (Voluntary Work)
July 1, 2010 – July 1, 2010
Greece
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on academic and research environments, with roles at universities, research centers, and companies like Meta and Canva. This aligns well with a culture that values innovation, continuous learning, and deep technical expertise. The early diverse experiences (web development, sales, electrical engineering) suggest adaptability, but the core fit for a senior ML Engineer role is primarily driven by the recent, highly specialized experience. The lack of explicit project details makes it difficult to assess diversity of problem-solving approaches or collaboration styles.
Soft Skills & Operational Fit
The candidate's resume indicates a strong academic drive and a progression through research-oriented roles. While specific soft skills are not explicitly detailed, the experience in research and engineering roles suggests problem-solving abilities and a capacity for independent work. The early voluntary work and military service show a diverse background, but direct evidence of team collaboration or leadership in a senior ML context is not explicitly provided.