CV

Below you can find a summary of my career path.

Education

• MSc. in Data Science and Engineering, EURECOM, 2020 - 2022 (GPA: 17/20)
• MSc. in Data Science and Engineering, Polytechnic University of Turin, 2019 - 2022 (GPA: 110 cum laude/110)
• BSc. in Computer Engineering, Polytechnic University of Turin, 2016 - 2019 (GPA: 108/110)

Work experience

• Fellow for Artificial Intelligence, Jan 2023 - Present, CERN openlab, Geneva, Switzerlad
  • Co-leading task of interTwin project concerning the development of a framework for advanced AI workflows in science
  • Scaling of PyTorch and TensorFlow workflows to large scale computing infrastructure (such as HPC systems)
  • Scaling of hyper-parameter optimization to HPC systems through Ray Tune.
  • Project management and main designer of the developed framework
  • Recruiting, mentoring and supervision (e.g., students)
  • Organization of events, such as CERN openlab summer lectures 2023

• Cyber-security Data scientist, Jun 2022 - Dec 2022, Huawei, Munich, Germany
  Machine Learning-based binary code analysis: research on Machine Learning-based binary code similarity methods; implemented feature engineering methods for disassembled binary code; maintained end-to-end AI workflows for binary code embedding via language models, and control-flow graph embedding via Graph Neural Networs (GNNs); developed Python APIs to allow the integration of pre-trained ML workflows in a malware detection product.

• Research Intern, Sep 2021 - Feb 2022, Huawei, Munich, Germany
  Analyzed the shortcomings of modern malware analysis techniques; Proposed an improvement to dynamic malware analysis, leveraging Artificial Intelligence’s capability to deal with complex tasks; Transformed binary code extracted from executable binaries into embedding vectors; Implemented a working PoC based on Reinforcement Learning.

• Big Data Analyst Intern, Mar 2019 - Jun 2019, Technology Reply, Turin, Italy
  Extracted unstructured textual information from bank transfers, collected from heterogeneous sources using Spark; Analyzed text with data exploration/visualization approaches; Preprocessed and transformed text into a numerical format, using NLP document embedding techniques; Implemented clustering methods for semi-supervised class discovery; Developed rule-based and machine learning (ML) based classifiers for bank transactions; Assessed models according to KPIs defined in agreement with the team; Organized transactions in an OWL ontology for semantic queries aimed at user profiling.

Research projects

• Energy-based models (EBM), EURECOM Semester project, Mar 2021 – Jun 2021
  Performed a theoretical study of EBM and comparison with other deep generative models such as Variational Autoencoders (VAEs); Compared different Markov chain (MCMC) sampling methods from learned data distribution (Langevin dynamics, SGHMC); Successfully implemented a working model, fully compliant with mathematical theory.
• Graph Convolutional Networks for anomaly detection in financial graphs, Partnership EURECOM-ORACLE Semester project, Oct 2020 - Mar 2021
  Analyzed the main pitfalls of anomaly detection applied to financial graphs; Performed a theoretical analysis of the current state of the art of Graph Convolutional Networks; Implemented and compared methods for scalable processing on huge transaction graphs.

Skills

• Machine learning and deep learning
  • Classification, regression and clustering
  • Supervised, unsupervised, self-supervised, and semi-supervised learning
  • NLP, CV, generative modeling, graph ML, RL
  • Sklearn, PyTorch, TensorFlow
  • Scaling of ML methods to HPC systems: SLURM, PyTorch and TensorFlow distributed, Ray Tune
• Project Management
  • Jira, Confluence, Gantt charts
  • Writing of deliverables for EC projects and progress reports
  • Basics of systems engineering
• Coding
  • Python, C, Bash
  • Git and Agile development
  • Unix OS and system calls
• Data management
  • ETL pipelines
  • Hadoop and Spark frameworks
  • RDBMS and SQL, NoSQL
• Cyber-security
  • Static and Control-flow Graph analysis
  • Symbolic execution
  • Evasive malware

Downloads

Download my CV here!