cv

PhD student

• PhD student supervised by professor Alberto Bacchelli and the ZEST group. My research interests lie in the interesectionof Software Engineering and Machine Learning.
• Teaching
  • Software Construction [MSc. + BSc. - Fall 2024]
  • Effective Software Testing [MSc. - Spring 2024]
  • Empirical Software Engineering [Seminar - BSc - Spring 2024]
  • Software Construction [MSc. + BSc - Fall 2023]
• Thesis supervision
  • Effective Mutations for Greybox Fuzzing using Machine Learning (In progress) - Lucas Steffen Krauter - MSc
  • An Empirical Study of the Mutation Strategy of AFLNet (In progress) - Anton Crazzolara - MSc
  • Investigating Toxicity in Open Source Software - Szymon Kaczmarski - MSc
  • Predicting Pull Request Outcome Using Deep Learning - Eric Vincent Leger - BSc

5-year integrated M.Sc./M.Eng.

• GPA: 9.00/10.00
• Master thesis: Text Classification Using Unsupervised Learning Techniques

Software Engineer

• Design and implementation of an in-house distributed computing system to handle large amounts of motor simulation data using MATLAB and Microsoft SQL Server.

Associate Software Engineer

Software Engineering Intern

NLP Intern

• Conducted research on algorithms for steering Natural Language Generation into specific semantic spaces using Pytorch as a Deep Learning framework and HugginFace for manipulating Transformer models (GPT-2 back then).

Software developer intern

• Developed code for the the university's android application, used by tens of thousands of students.

Bodossaki Foundation Scholarship for PhD Students

• Grateful to be supported by the Bodossaki Foundation during my PhD

Bronze medal

• South Eastern European Mathematical Olympiad for University Students 2018 | Iasi, Romania

Bronze medal

• South Eastern European Mathematical Olympiad for University Students 2017 | Ohrid, North Macedonia