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Senior machine learning engineer at Kalpa
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
HarvardX, Harvard University
Certificate of mastery, Quantitative Methods in Clinical and Public Health Research
January 1, 2012 – January 1, 2012
Politecnico di Milano
Master of Science, Aeronautical Engineering
January 1, 2005 – January 1, 2012
Politecnico di Milano
Bachelor of Science, Aerospace Engineering
January 1, 2002 – January 1, 2005
Kalpa
Senior Machine Learning Engineer
September 1, 2021 – Present
Milan, Lombardy, Italy
AGS S.p.A - Advanced Global Solution
Senior Machine Learning Engineer
December 1, 2018 – September 1, 2021
AGS S.p.A - Advanced Global Solution
Machine Learning Engineer
December 1, 2016 – December 1, 2018
AGS S.p.A - Advanced Global Solution
Machine Learning Engineer Trainee
October 1, 2016 – December 1, 2016
C.N.R. - ITIA
R&D Engineer at the Institute of Industrial Technologies and Automation
March 1, 2013 – December 1, 2016
Milan, Lombardy, Italy
Supply Chain Design
edX
June 24, 2026 – Present
Introduction to Statistics: Probability
edX
June 24, 2026 – Present
Learning From Data (introductory Machine Learning course)
edX
June 24, 2026 – Present
Quantum Mechanics and Quantum Computation
edX
June 24, 2026 – Present
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
edX
June 24, 2026 – Present
Financial engineering and risk management
Coursera
June 24, 2026 – Present
CS191x Quantum mechanics and quantum computation
edX
June 24, 2026 – Present
Introduction to Finance
Coursera
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a consistent career path primarily within Machine Learning Engineering roles, indicating a clear focus. The project diversity within ML (computer vision, NLP, biometrics, stock market forecasting) suggests adaptability. However, the lack of explicit project details or contributions outside of work experience makes it difficult to fully assess cultural fit beyond role alignment. The target role of ML Engineer aligns well with the candidate's professional history.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate problem-solving abilities and a history of working in international teams. The R&D role at C.N.R. - ITIA also suggests leadership experience (coordinating a team of 8 specialists). However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.