AI Lead at Tinexta Group

• Lead the development of two now available Generative AI solutions (RAG, Multiagent, Graph‑based).
• Proven ability to effectively communicate complex AI solutions to clients, ensuring their needs are met and fostering strong, collaborative relationships
• Mentoring of 2 juniors.
• Lead two classes introducing the use of LLMs to technical stakeholders.

Artificial Intelligence Specialist at Tinexta Group

• Implemented multiple LLM Agent and Multiagent Solutions.
• Improved the performances of our search pipelines of more than 50%.
• Lead the creation of an ElasticSearch Database currently storing more than 100 Milions Legal Documents
• Created more than 20 high performance ElasticSearch queries, lowering the latency of more than 30% with respect to the previous solutions

Co‑founded DatAIMed and shaped its AI vision, steering the company’s agent‑driven, evidence‑based‑medicine platform from concept to scale.

• Set the AI strategy & roadmap — aligned proprietary product direction with clinical and market needs.
• Led cross‑functional execution — coordinated engineering, data‑science and clinical teams to deliver agent‑powered workflows end‑to‑end
• Built a Paper vector database — architected a multi‑collection MongoDB store for lightning‑fast retrieval of peer‑reviewed literature.
• Forged high‑impact partnerships — secured collaborations with leading partners, clinicians and organisations to validate and deploy our solutions.
• Scaled a top‑tier AI org — hired, mentored and retained talent across research, MLE and product, cultivating a high‑performance culture.

Provided Consultancy and Freelancing work for:

• SetUP Aosta
• Tinexta Innovation Hub

GlobalAl, the international Association aiming to represent Al players (both developers and users) to international institutions, was established in 2023 as a non-profit entity following Swiss law.

• GlobalAl aims at promoting the positive development, sustainable growth and ethical application of Artificial Intelligence technology worldwide.
• Its primary goal is to empower its Members with representation and voice at the United Nations and other pertinent global entities, in order to foster a conducive and unified regulatory environment.

First Data Scientist hired at Greenomy

• Created first Deep NLP system @ Greenomy.
• Lead the development of Artemis, the AI Advisor by Greenomy.
• Won 2nd place at the Swift Hackathon “Let’s innovate for a sustainable future”
• Implemented multiple LLM use cases.
• Development of LLM‐based DB‐connected ChatBots
• Onboarding and Mentoring of new joiners.

• Responsible of Data Science operations @ Group Audit
• Design and implementation of Machine Learning, Deep Learning and NLP architectures applied to Auditing and Control functions.
• Exploration of structured and unstructured data and ETL pipeline design.

• Researched and implemented the first completely in-house Deep Learning model.
• Research and Development of Machine Learning and Deep Learning Models
• Data Exploration and Analysis
• ETL procedures

• FAWLTS is an NGO that bridges the gap between schools and the job market, helping students understand what they want to do when they grow up
• Organization of events and activities
• Management of a Team of more than 10 people.
• Organised and lead multiple events and activities with more than 200 participants

• Contributed insightful articles on practical applications of Artificial Intelligence, generating thousands of views and fostering community engagement.
• Engaged in knowledge-sharing and discussions within an open AI community, helping to demystify AI concepts and applications for a wider audience.
• Played a key role in creating and nurturing a space for AI enthusiasts and professionals to connect and share knowledge.

• Developed and evaluated two advanced algorithms, a Random Forest Regressor and a Recurrent Neural Network, for forecasting popularity trends in Online Social Networks, utilizing a dataset comprising over 2 million posts from 1611 Italian Instagram influencer profiles.
• Engaged in data-driven analysis, focusing on understanding the interactions and popularity dynamics within social media platforms, and the impact of various factors on content popularity.
• Implemented various data science and machine learning techniques, including data exploration, model development, and performance evaluation, using tools and technologies such as Python, PySpark, MySQL, and more.
• Achieved satisfactory prediction results despite the challenges posed by data limitations, extreme metric variances, and the presence of numerous outliers, contributing meaningful insights into the field of social media analytics and popularity forecasting.

• Engaged in full-stack development and database management, contributing to various projects during the internship period.
• Worked with a stack including Flask, MySQL, SQL, Ubuntu, and Python, implementing robust and efficient database solutions.
• Utilized data modeling techniques and worked with relational databases to ensure data integrity and optimal performance.
• Collaborated with cross-functional teams, contributing to the development lifecycle from database design to full-stack implementation and optimization.

• Specialized in crafting engaging and informative news articles and editorials focused on the videogame and E-Sports industry.
• Conducted thorough research to stay abreast of the latest trends and developments within the gaming community.
• Contributed to the editorial team by consistently delivering high-quality content, enhancing the publication’s reputation and reader engagement.
• Utilized strong writing skills to break down complex gaming topics for a diverse audience, promoting a deeper understanding of E-Sports and gaming culture.