About Me


🎓 Education


📘 Master's Degree

I studied at the University of Rome "Tor Vergata" from 2019 to 2021, where I pursued a Master's Degree in Computer Science with a specialization in Artificial Intelligence. My thesis was titled "Evaluation of Explainability of Machine Learning Models: ERO-MD Explainable Model for Migraine Diagnosis" and was supervised by Prof. Fabio Massimo Zanzotto. I graduated with honors, receiving a final grade of 110 cum laude 🎉.

My research focused on the development of an explainable machine learning model for migraine diagnosis 🧠💡. The model, named ERO-MD, was evaluated on a real-world dataset of migraine patients and demonstrated promising results in terms of accuracy and explainability. This work contributed to increasing transparency in AI-driven healthcare solutions.


📗 Bachelor's Degree

I completed my Bachelor's Degree in Computer Science at the University of Mac Lane and Knights from 2016 to 2019. During my undergraduate studies, I developed a keen interest in artificial intelligence and machine learning 🤖, which led me to pursue a career in this field.

My thesis focused on the automation of semantic annotations and the population of ontologies, specifically in the context of resolutions of the United Nations 🌍. I worked under the supervision of Prof. Armando Stellato and successfully defended my thesis, receiving positive feedback from the examination committee 🙌.

📄 Publications


📜 Every time I fire a conversational designer, the performance of the dialog system goes down

Read the paper

ACL | 2022

📜 Combining Transformer-based architectures and Transfer Learning for robust Stance Detection

Read the paper

EVALITA | 2020

🏆 Additional Experience & Rewards

🥇 Best System Award

EVALITA 2020 (Italian National NLP Competition) | Dec 2020

Achieved 1st place in the SardiStance Task at the prestigious Italian NLP competition.

🥈 2nd Place at HackParty W21

Pi Campus | Rome, Italy | 2022

Secured 2nd place in the AI Challenge at HackParty W21, competing against top talents in AI innovation.

🎤 Computer Science Students Representative

University of Rome "Tor Vergata" | Rome, Italy | 2017 - 2021

Actively represented Computer Science students, facilitating discussions between faculty and students to improve academic programs.

🚀 Computer Science Hackathon Organizer

University of Rome "Tor Vergata" | Rome, Italy | 2019

Organized and managed hackathons, fostering a collaborative environment for innovation and problem-solving in computer science.

💼 Experience


🚀 Lead ML Engineer

Stip AI | Rome, Italy | Sep 2024 - Present

Leading end-to-end machine learning projects, coordinating R&D efforts, and driving innovation in AI product solutions. Focused on building scalable models and enhancing team productivity through efficient project management and collaboration.

🖥️ MLOps Engineer - AI Production Team Lead

Translated | Rome, Italy | Dec 2023 - Sep 2024

Established a Kubernetes cluster for AI application training and deployment. Oversaw both internal and external AI tools development, emphasizing model optimization and deployment automation streamlining.

🤖 Machine Learning Engineer - AI Production Team Lead

Translated | Rome, Italy | Feb 2022 - Dec 2023

Led the AI production team, managing two people, overseeing the creation of advanced Neural Machine Translation and Text-to-Speech models. Developed data pipelines, complete model pipelines, MLOps workflows, and optimized multi-GPU training setups.

📊 AI Specialist

Stip | Rome, Italy | Sep 2021 - Feb 2022

Created cutting-edge NLP solutions for customer care applications. Conducted thorough data analysis and designed robust data pipelines. Specialized in training, testing, and optimizing Deep Learning models, as well as developing end-to-end ML production pipelines.

📚 NLP Research Scholarship

University of Rome "Tor Vergata" in collaboration with AlmaWave | Rome, Italy | Sep 2020 - Feb 2021

Conducted research on integrating rule injection in Neural Networks for dialog system development. Investigated Natural Language Inference (NLI) with a focus on enhancing dialog systems. Published "Every time I fire a conversational designer, the performance of the dialog system goes down" in LREC 2022.