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Tech Lead at GraphSight
Overall interested and passionate about AI and machine learning. I worked in speech/audio processing and computer vision. My master thesis was a comparative study of automatic speaker recognition, carried out at Ericsson Research in Stockholm, Sweden. As part of my double degree from EIT Digital Master School I also obtained a minor in business development. I love new innovative technologies and ideas that lead to improvements for society and to better services and products for consumers. After working in tech consultancy companies, developing PoC and R&D projects, I am now at IDSIA in Lugano, working as a research collaborator. My focus is on Graph Neural Networks (GNNs) applied to time series forecasting, I worked on many applied research projects in the energy sector, focusing on load forecasting and PV power generation forecasting. Amateur guitar and bass player, I've been playing music since I was 8 years old. Lately, I've been developing my classical guitar skills.
Politecnico di Milano
Master's degree, Telecommunications Engineering - Musical Acoustics
January 1, 2017 – January 1, 2019
KTH Royal Institute of Technology
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2016
KTH Royal Institute of Technology
Summer School, Cyber-Physical Systems
January 1, 2015 – January 1, 2015
Delft University of Technology
Master of Science (MSc), Computer Science
January 1, 2014 – January 1, 2015
EIT Digital Alumni
Master's degree minor, ICT Innovation
January 1, 2014 – January 1, 2016
Università di Trento
Bachelor's degree, Electrical Engineering
January 1, 2011 – January 1, 2014
GraphSight
Technical Lead
April 1, 2024 – Present
Lugano, Ticino, Switzerland · On-site
IDSIA
Research Collaborator
November 1, 2021 – December 1, 2024
Lugano, Ticino, Switzerland
Capgemini Engineering
Software Engineering Consultant
April 1, 2021 – November 1, 2021
Turin, Piedmont, Italy
Altran
Engineering Consultant
October 1, 2020 – April 1, 2021
Altran
Jr. Consultant Engineer
March 1, 2019 – September 1, 2020
EIT Digital Alumni
Alumni Representative
March 1, 2018 – March 1, 2019
Milan, Lombardy, Italy
TrueYou
Co-founder - CTO
January 1, 2018 – May 1, 2018
Rome, Latium, Italy
TU Delft
Researcher - Computer Vision for Autonomous Vehicles
October 1, 2016 – July 1, 2017
Delft, South Holland, Netherlands
Ericsson
Master Thesis Internship
February 1, 2016 – August 1, 2016
Greater Stockholm Metropolitan Area
University of Trento
150h Collaborator
July 1, 2013 – December 1, 2013
Trento, Trentino-Alto Adige, Italy
Nova Member
Nova
June 24, 2026 – Present
Deep Learning Specialization by deeplearning.ai
Coursera
June 24, 2026 – Present
Algorithmic Toolbox
Coursera
June 24, 2026 – Present
Machine Learning by Stanford University
Coursera Course Certificates
June 24, 2026 – Present
An Introduction to Interactive Programming in Python (Part 2)
Coursera Course Certificates
June 24, 2026 – Present
Digital Signal Processing
Coursera
June 24, 2026 – Present
Introduction to Digital Sound Design
Coursera
June 24, 2026 – Present
Certificate in Advanced English (CAE)
Cambridge English
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse educational background across multiple European institutions (KTH, TU Delft, Politecnico di Milano, Università di Trento) and varied professional roles (research, consulting, startup CTO, technical lead) indicates adaptability and exposure to different work cultures. Their involvement in EIT Digital Alumni and a startup demonstrates initiative and a collaborative mindset. The focus on climate and energy sector projects aligns with socially conscious environments. However, the target role of 'Data Analyst' might be a step down from their 'Technical Lead' and 'Research Collaborator' roles, potentially indicating a mismatch in career progression expectations or a desire for a more focused analytical role.
Soft Skills & Operational Fit
The candidate's experience as a co-founder and technical lead suggests leadership potential and problem-solving skills. Their research collaboration role indicates an ability to work on complex, challenging data problems. The volunteering position shows community engagement and coordination skills. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.