My academic journey, work experiences, and notable achievements.
Work Experience
Master's Thesis Student
MEGWARE Computer Vertrieb und Service GmbH
Developing an automated bottleneck detection system for HPC workloads. The tool processes ~100 time-series metrics at ~5,000 data points/minute, classifying bottleneck types using heuristic decision trees and ML classifiers, delivering interpretable recommendations without requiring source-code access.
Stack: Python, tsfresh, Random Forest, SLURM, Linux
Education
Double Master's Degree in High Performance Computing Engineering
Politecnico di Milano & University of Luxembourg
GPA: 29.25 / 30
Relevant Courses:
- Artificial Neural Network and Deep Learning
- Streaming Data Analytics
- Advanced Computer Architectures
- Software Engineering Environments
- Time Series Analysis
Selected among top candidates for the exclusive EUMaster4HPC double degree program.
Bachelor's Degree in Computer Engineering
Politecnico di Milano
GPA: 110 cum laude / 110
Foundation in computer science, software engineering, and system design.
Won "Migliori Matricole" scholarship for being one of Politecnico di Milano's best freshmen students of the 21/22 season.