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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
With over a decade of industry experience under my belt, I've explored various roles and found my place as a Machine Learning Engineer. Recently, I completed a master's degree in applied data science. Currently, I am serving as an ML consultant, providing expertise and solutions to clients.
National Tsing Hua University
Master's degree, Information Systems and Applications
September 1, 2020 – July 1, 2022
General Assembly
Course, Data Science
January 1, 2016 – January 1, 2016
Università degli Studi di Perugia
Bachelor's degree, Computer Science
January 1, 2009 – January 1, 2012
Liceo Scientifico Tecnologico, Città di Castello
Maturità scientifica, Science
January 1, 2003 – January 1, 2008
Ki
Senior Machine Learning Engineer
September 1, 2025 – Present
Italy / Taiwan · Remote
Jenesys AI
Senior Machine Learning Engineer
July 1, 2024 – September 1, 2025
Italy / Taiwan · Remote
Inference by Manuel Giambi
Machine Learning Consultant
July 1, 2021 – July 1, 2024
Italy / Taiwan · Remote
ZOE
Machine Learning Engineer
January 1, 2020 – September 1, 2020
London, United Kingdom
Gousto
Machine Learning Engineer
August 1, 2017 – January 1, 2020
London, United Kingdom
Arbor Education Partners
Machine Learning Engineer
September 1, 2016 – July 1, 2017
London, United Kingdom
Arbor Education Partners
Lead Front End Engineer
May 1, 2013 – September 1, 2016
London, United Kingdom
Mediatonic Games
Games Developer
September 1, 2012 – April 1, 2013
Soho, London
BULLINGDON RESEARCH LIMITED - QuanTemplate
Front-end Developer
July 1, 2012 – September 1, 2012
Camden Town, London
01 Sistemi
Android Developer
September 1, 2011 – May 1, 2012
Sansepolcro, Tuscany
Cultural Fit Analysis
The candidate has a diverse background, transitioning from Frontend Development to Machine Learning Engineering, and working across various industries (education, gaming, food delivery, health tech, AI/blockchain). This adaptability and breadth of experience could indicate a strong cultural fit for dynamic environments. However, the target role is 'Frontend Developer', while the recent experience is heavily skewed towards Machine Learning. This misalignment might impact cultural fit if the candidate's primary interest remains in ML, or if the frontend role requires deep, current expertise in modern frontend frameworks not explicitly detailed in their older frontend roles.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with Data Science, Data Engineering, and Platform teams, suggesting good cross-functional communication and teamwork. Mentoring Data Scientists on engineering principles indicates leadership and knowledge sharing abilities. Participation in architectural decisions and improving company infrastructure points to a proactive and impactful operational fit. However, specific soft skill assessments are not available.