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Lead AI Engineer at Almawave
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.S.Eng. in Computer Science. PhD in Natural Language Processing & Machine Learning. Several years of experience in international research projects, both in the industry and in the academia, holding posts as R&D Team Manager, Research Engineer and Data Scientist. Strong engineering professional skilled in Semantic Technologies, Natural Language Processing, Machine Learning. Interested to working on complex problems, designing cutting edge solutions with an enthusiastic, engaged and inclusive team.
Fondazione Italiana Sommelier
Diploma internazionale di qualifica Sommelier
January 1, 2015 – January 1, 2017
University of Rome Tor Vergata
Doctor of Philosophy (PhD), Computer Science
January 1, 2007 – January 1, 2010
University of Rome Tor Vergata
Computer Engineering
January 1, 2003 – January 1, 2006
Almawave
Lead AI Engineer
December 1, 2020 – Present
Luiss Guido Carli University
Contract Professor
November 1, 2020 – Present
Marconi University (Università degli Studi Guglielmo Marconi)
Contract Professor
September 1, 2020 – Present
Talent Garden Innovation School
Teacher
January 1, 2018 – September 1, 2020
Almawave
ML & NLP Engineer
October 1, 2016 – December 1, 2020
BAICR Cultura della Relazione
Lecturer at Master MIDA
January 1, 2014 – September 1, 2020
Rome, Latium, Italy
Reveal srl
Co Founder
December 1, 2012 – June 1, 2016
Rome, Latium, Italy
University of Rome "Tor Vergata"
Postdoctoral Researcher
October 1, 2011 – September 1, 2014
CM sistemi
Research Consultant and Contractor
April 1, 2007 – October 1, 2011
University of Rome Tor Vergata
Phd student
January 1, 2007 – May 1, 2011
University of Tor Vergata
Research Consultant and Contractor
June 1, 2006 – March 1, 2007
Cultural Fit Analysis
The candidate's background is heavily skewed towards AI, ML, and academic research. While this demonstrates deep expertise in a specific domain, the target role of 'Backend Engineer' requires a broader set of backend development skills (e.g., specific programming languages, frameworks, distributed systems, API design, cloud platforms) that are not explicitly highlighted or tested. The diversity of projects is limited to AI/ML applications. This indicates a potential mismatch with a general backend engineering role, suggesting a stronger fit for an AI/ML-focused backend role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their research background and roles. Their experience as a professor and lecturer suggests good communication and presentation abilities. Project management skills are also noted. However, the provided data does not offer specific insights into stress handling or team collaboration beyond general role descriptions.