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AI and Robotics Engineer seeking new ways to improve mobile experience
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 an experienced iOS developer with a strong engineering background, skilled in artificial intelligence and robotics. Visit my website for more information about me and my work. 👇
Sapienza Università di Roma
Master of Science (M.Sc.), Engineering in Artificial Intelligence and Robotics
January 1, 2012 – Present
Sapienza Università di Roma
Bachelor of Applied Science (B.A.Sc.), Computer Software Engineering
January 1, 2009 – Present
Cynny S.p.a.
Software Engineer
March 1, 2016 – November 1, 2018
Florence Area, Italy
Sapienza Università di Roma
Software Engineer
February 1, 2014 – August 1, 2014
Rome, Latium, Italy
Giovanni Murru
Software Engineer
December 1, 2012 – Present
Italy
Sapienza Università di Roma
Research Assistant
December 1, 2012 – January 1, 2014
Rome, Latium, Italy
Machine Learning
Coursera
June 24, 2026 – Present
Introduction to Artificial Intelligence
Udacity
June 24, 2026 – Present
Control of Mobile Robots
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong academic foundation and practical experience in AI/ML, which aligns well with a technical, research-oriented culture. The diverse project experience, including mobile development and cultural heritage applications, demonstrates versatility. However, the lack of explicit team-based project descriptions or contributions makes it challenging to fully assess cultural fit in a collaborative engineering environment. The experience is heavily focused on individual contributions or small team settings.
Soft Skills & Operational Fit
The candidate's experience in research and development, particularly in prototyping and custom algorithm development, suggests strong problem-solving and innovation skills. The freelance work and consultant roles indicate adaptability and self-management. However, without specific project details or team collaboration descriptions, it's difficult to assess operational fit beyond technical contributions.