I am a Machine Learning Engineer with experience in MLOps, solution architecture design, data engineering and software development. I am passionate about building products and MVPs that solve real-world problems.
I have experience in consulting companies as well as in product companies. I have delivered projects to customers in the edge AI, energy, fashion, banking and retail industries.
I have experience with Cloud-based development (GCP, AWS) as well as on-premises. I am a strong advocate of DevOps and MLOps practices.
Work Experience
Senior ML Engineer - SmartCow AI (03/2022 - 12/2022)
SmartCow AI is a start-up that operates in the edge AI industry, with offices in Malta, Italy, India, Singapore, Taiwan. I was working as a Senior Machine Learning Engineer, joining as the third employee of the italian branch and contributed to the headcount growth of the AI team in Italy.
In SmartCow, my responsibilties were:
- Responsible for AI/ML architecture design and implementation on AWS and on premise
- Mentored the italian team, promoted best practices and the development of internal tools
- Involved in the development of tools for Omniverse (Nvidia Metaverse)
- Contributed to the development of the MLOps pipeline
- Involved in the technical interviews of new candidates
ML Engineer - Noovle (12/2020 - 03/2022)
Noovle is a consulting company recently acquired by T.I.M. (the major italian telecommunications company) as part of the strategic partnership with Google Cloud. I was working as a Machine Learning Engineer, being involved in the development of AI/ML solutions for customers as well as in the strategic research projects.
My responsibilties were:
- Responsible for AI/ML architecture on GCP
- R&D lead engineer: published 6 papers
- Designed and lead the development of an unsupervised question answering engine based on a TypeDB graph database. I managed a team of 6 engineers (front-end, back-end, data scientist, devops).
Data scientist - Machine Learning Reply (04/2019 - 12/2020)
Machine Learning Reply is a consulting company part of the holding Reply. I was working as a Machine Learning Engineer, being involved in the development of solutions for customers.
My contributions were:
- Responsible for developing machine learning solutions for customers on GCP
- Delivered projects in the fields of computer vision, natural language processing and recommendation systems
Education
- Master of Science in Automation and Control Engineering - Politecnico di Milano (09/2016 - 04/2019) - 110/110 - diploma supplement
- Bachelor of Science in Automation and Control Engineering - Politecnico di Milano (09/2013 - 09/2016) - 103/110 - diploma supplement
- High School Diploma - High School Institute Carpeggiani (09/2008 - 06/2013) - 98/100 - diploma supplement
Public Speaking
- 04/2020 - How to hack a neural network? (Online event with ~50 people) - about adversarial attacks, white box attacks and black box attacks
- 03/2020 - ODE neural networks (Online event with ~30 people) - about the ordinary differential equation neural networks
- 07/2018 - TechCamp@Polimi (in presence with 20 students) - teaching assistant for the robotics course
Certificates
- Google Cloud
- deeplearning.ai
- Nvidia
- Polimi Open Knowledge
Languages
- Italian - Native
- English - Fluent - IELTS: 7.0 - C1
- French - Basic
Research
Lazzarinetti, G., Massarenti, N., Sgrò, F., Salafia, A. - Continuous Defect Prediction in CI/CD Pipelines: A Machine Learning-Based Framework - 2022 - Advances in Artificial Intelligence. AIxIA 2021. Lecture Notes in Computer Science, vol 13196. Springer, Cham
Massarenti, N., Lazzarinetti, G. - A Deep Learning Based Methodology for Information Extraction from Documents in Robotic Process Automation - 2021 - Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2021
Massarenti, N., Lazzarinetti, G - Dialog Clustering: a Framework for Automatic Text Clustering - 2021 - Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2021
Lazzarinetti, G., Massarenti, N. - A Conversational Framework for Semantic Question Answering in Customer Services with Machine Learning on Knowledge Graph - 2021 - Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2021
Lazzarinetti, G., Massarenti, N., Mantisi, S. - A Cloud-Hosted Online Learning Approach for Glycemic Index Forecasting - 2021 - Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2021
Lazzarinetti, G., Massarenti, N., Mantisi, S., Sasso, O. - A Comparison of Machine Learning Algorithms and Tools in Prognostic Predictive Maintenance: a Focus on Siamese Neural Network Models - 2021 - Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2021
Lazzarinetti, G., Massarenti, N., Sgrò, F., Salafia, A. - A Machine Learning Based Framework for Continuous Defect Prediction in CI/CD Pipelines - 2021 - Italian Workshop on Artificial Intelligence and Applications for Business and Industries 2021
Pilon, G., Gugole, N., Massarenti, N. - Aircraft Loading Optimization - QUBO models under multiple constraints - 2021 - arXiv preprint arXiv:2102.09621
Casalino, A., Massarenti, N., Zanchettin, A. M., & Rocco, P. - Predicting the human behaviour in human-robot co-assemblies: an approach based on suffix trees - 2020 - In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 11108-11114). IEEE