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Felice Schena

AI & Analytics Engineer

Modena, Italy | [email protected] | feliceschena.com | github.com/FeliceSchena | linkedin.com/in/felice-schena

Summary

Machine-learning engineer with a DevOps background. Currently working as an AI & Analytics engineer at Tetra Pak, where I research ways to adapt vision-language models for industrial quality control and build the analytics around them.

Experience

AI & Analytics Engineer

Feb 2025 – present

Tetra Pak — Modena, Italy

  • Building on the vision-language model research started during the internship, moving it towards production use in quality control.
  • Designing and maintaining analytics for the Development & Technology department.

Artificial Intelligence Intern

Aug 2024 – Jan 2025

Tetra Pak — Modena, Italy

  • Researched and implemented state-of-the-art vision-language models (CLIP, SigLIP) and adapted them to Tetra Pak's quality-control use case.
  • Manually annotated a dataset of ~1,000 image–text pairs and fine-tuned models with transfer-learning techniques.
  • Presented findings and recommendations to the team; the proposed approach was considered for future projects.

Education

MSc, Computer Science — Artificial Intelligence

2022 – Apr 2025

University of Modena and Reggio Emilia — Modena, Italy

Thesis: Fine-tuning Vision-Language Models for Domain-Specific Image Retrieval with Small-scale Datasets.

BSc, Computer Science

2017 – 2021

University of Modena and Reggio Emilia — Modena, Italy

Thesis: Variable Neighborhood Search — optimal placement of microservices in fog architectures.

Certifications & Courses

AWS Solution Architect

Oct 2021

Tree srl

Course on designing scalable, highly available and fault-tolerant systems on AWS, with a focus on cost constraints and Quality of Service.

Skills

Publications

Placement of IoT Microservices in Fog Computing Systems: A Comparison of Heuristics — Algorithms (MDPI), open access, 2021. mdpi.com/2478364