Machine Learning Software Engineer at Facebook
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’m very interested in new technologies and I like working with other engineers in order to accomplish the team objectives. I am used to share the knowledge documenting the code I write and helping teammates when they have problems. I’d like to work in a big company that works on cutting-edge technologies that can change the world.
Università degli studi Roma TRE
Master of Science (MS), Computer Science
January 1, 2009 – January 1, 2012
Università degli studi Roma TRE
Bachelor of Science (BS), Computer Science
January 1, 2005 – January 1, 2008
Machine Learning Software Engineer
January 1, 2017 – Present
London, United Kingdom
Thought Machine
Software Engineer
July 1, 2014 – December 1, 2016
Londra, Regno Unito
Skimlinks
Software Engineer
November 1, 2012 – June 1, 2014
Londra, Regno Unito
Speech Data Ops Engineer
October 1, 2011 – August 1, 2012
KDM S.r.l
Software Engineer Intern
April 1, 2008 – June 1, 2008
Skimlinks
October 1, 2012 – Present
Defining the architecture for Skimlinks Skimwords upgrade and move to multilingual (particularly Japanese) and developing the system using various AI technologies (Machine Learning, Big Data, Natural Language Processing...)
Cultural Fit Analysis
The candidate's experience is heavily focused on Machine Learning, Big Data, and AI/NLP, which does not directly align with a 'Frontend Developer' target role. While the candidate has experience in large tech companies, the specific role alignment is a significant mismatch. The project descriptions are limited in detail regarding frontend technologies. The 'culturalFit' score is 0 due to the significant mismatch between experience and the target role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data was collected or evaluated for these aspects.