Samuele Dell'Erba

Computer Engineering Student | 42 Student | Startup Member | Student Researcher

Developing high-performance systems and exploring generative AI, optimizing text-to-image models at MICC and building AI avatars at NYOUS.
Passionate about Low-Level Programming, AI & Computer Vision.

Samuele Dell'Erba

Experience

Student Researcher — MICC, University of Florence Sep 2025 – Nov 2025

Conducted research on a training-free method leveraging Optimization-based Visual Inversion (OVI) to replace diffusion priors in text-to-image models.

Technical Report: Training-Free Diffusion Priors for Text-to-Image Generation via Optimization-based Visual Inversion (2025). S. Dell’Erba, A. D. Bagdanov.

AI Developer NYOUS Apr 2025 – Present

Design and implementation of AI pipelines for news summarization, audio generation, and avatar-based video news anchors. Engineered the Avatar subsystem, focusing on audio-driven lip sync and body animation.

Selected Technical Projects

Distributed Microservices Platform

Docker, Kubernetes, Redis, Grafana, Prometheus, Django, Python, Javascript

Engineered a scalable web app using K8s. Integrated Redis for caching, Grafana for monitoring, and real-time WebSockets for a PvP game engine.

Systems Programming Suite

C, C++, Unix

Re-implemented standard library functions. Built a Unix Shell (process control), a Ray-Tracer (linear algebra engine), and a non-blocking IRC Server.

Logistic Regression & Data Analysis

Python, NumPy, Math

Built a multi-class classifier (One-vs-All) purely in Python/NumPy (no high-level ML libraries), leveraging Batch and Stochastic Gradient Descent with Cross-Entropy Loss. Developed a custom statistical and visualization toolkit to analyze feature correlations.

Education

B.Sc. in Computer Engineering Sep 2023 – Jul 2026

University of Florence | GPA: 30/30 with honors
Core: Algorithms, OS, Theoretical CS, Probability.

RNCP-7 Specialization (Data & AI) Aug 2025 – Jul 2026

École 42 Firenze | EQF Level 7 Professional Certification.
Advanced track in Data Science & Artificial Intelligence.

Software Engineering Common Core Oct 2023 – Aug 2025

École 42 Firenze | First student of the cohort to complete the curriculum
Focused on low-level C/C++, Unix System Programming, Concurrency, and memory management.

Scientific High School Diploma Sep 2018 – Jul 2023

Liceo Scientifico L. da Vinci, Florence | Final Grade: 100/100
Awarded Carta del Merito by the Ministry of Education for achieving the maximum score.

Honors & Leadership

🏆 Selected for 42 Global Games

One of the top 4 students representing 42 Firenze in Paris based on technical scores and community engagement.

💡 Best Idea Award

Hack Attack Hackathon (Nana Bianca × 42). Awarded for designing a noise-pollution awareness social network.

🏛️ Student Board Member

EUniWell Alliance & University of Florence Course Representative.

Technical Skills

C C++ Python Rust Assembly C# SQL JavaScript Bash PyTorch NumPy Pandas Django Docker Kubernetes Git Makefiles Unity MATLAB/Octave LaTeX