A proactive, self-studier, with a strong can-do attitude person motivated by an inexhaustible enthusiasm and commitment and excited to follow-up collaborations with industries working in the Software Engineering domain!

Recently completed the Google Project Management Career Certificate - a rigorous, hands-on program that covers traditional and Agile project management approaches throughout the life cycle of a project.

Skills

Programming Paradigms

  • Object-Oriented
  • Procedural
  • Functional
  • Logic

Coding Languages

  • Python
  • Java
  • JavaScript
  • TypeScript
  • Kotlin
  • Prolog
  • C/C++/C#
  • Ansible

Frameworks

  • PyDriller
  • Scikit-Learn
  • Imbalanced-Learn
  • Flask
  • Deap
  • Angular

Machine Learning

  • Supervised
  • Clustering
  • Anomaly/Novelty detection
  • Basic Neural Networks

Platforms

  • Windows
  • Linux/Ubuntu
  • Docker

Project Management

  • Agile project management
  • Risk management
  • Effective stakeholders communication
  • Scoping and planning

Communication

  • Presentations
  • Public speaking
  • Scientific writing
  • Teaching

Critical Thinking

  • Adaptability/Flexibility
  • Problem solving
  • Research
  • Thinking outside the box
  • Willingess to learn

Leadership

  • Decision making
  • Project management
  • Supervising

Collaboration

  • Github
  • monday.com
  • Microsoft Teams
  • Slack

Work Experience (1)

Nov 2017 - Jul 2021
Co-founder
Datasound s.r.l.
https://datasound.it

Projects (1)

RADON-H2020
Feb 2019 - Sep 2021
https://radon-h2020.eu
  • serverless
  • infrastructure-as-code
  • defect prediction
  • Developed a tool suite for defect prediction of failure-prone Infrastructure-as-Code files (https://github.com/radon-h2020/radon-defuse)

  • Conducted empirical research to implement and validate the tool suite

Education (5)

2022 - Current
Online
Google Project Management Certificate
Coursera
2019 - Current
Ph.D.
Software and Data Engineering
Tilburg University, JADS
2018 - 2018
Master Thesis
Erasmus Taineeship
University College London
  • Conduced an empirical study on Bounded Model-Checking in security context
  • Gained familiarity with the bounded model-checker CBMC and analyzed it in distinguish vulnerable code regions
  • Collected and analyzed corpus of real-world C applications with known vulnerabilities
  • Implemented program analysis in Python and performed experimentation
2016 - 2018
Master
Software System Security
University of Molise
2013 - 2016
Bachelor
Computer Science
University of Molise

Certificates (7)

AWS Cloud Technical Essentials Amazon Web Services
Writing in the Sciences Stanford University

Publications (12)

Defuse: A Data Annotator and Model Builder for Software Defect Prediction in IEEE International Conference on Software Maintenance and Evolution
Go serverless with RADON! A practical DevOps experience report in IEEE Software
What is your distributed (hyper) ledger? in International Workshop on Emerging Trends in Software Engineering for Blockchain
Blockchain and cryptocurrencies: A classification and comparison of architecture drivers in Concurrency and Computation: Practice and Experience
Within-project defect prediction of infrastructure-as-code using product and process metrics in IEEE Transactions on Software Engineering
The Genesy model for a blockchain-based fair ecosystem of genomic data in Frontiers in Blockchain
Toward a catalog of software quality metrics for infrastructure code in Journal of Systems and Software
Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code in International Workshop on Machine-Learning Techniques for Software-Quality Evaluation
Deepiac: Deep learning-based linguistic anti-pattern detection in iac in Empirical Software Engineering Journal
DevOps and Quality Management in Serverless Computing: The RADON Approach in European Conference on Service-Oriented and Cloud Computing
AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible in SoftwareX
Artificial intelligence: Journey through the thinking machines that will change our future (Book) in Hachette fascicoli

References

“ Stefano is an impressive young researcher. He generates his own interesting research ideas and overcomes most engineering obstacles on his own. He has a promising future ahead of him ”
Dr. Earl Barr, Jul 2018 (http://earlbarr.com/)