CV

12+ years working cross-functionally with national and international teams and stakeholders, building intelligent systems — from algorithmic fairness and recommender systems to autonomous agents and enterprise LLM platforms.

• I have experience in Large Language Models, AI Agents, Natural Language Processing, Recommendation and Search Systems, Algorithmic Fairness, among others.
• I hold a PhD in Computer Science with a focus on Data Science, from the University of Cagliari.
• Before being a Data Scientist I held different Software Engineering and Teaching positions.
• My experience includes collaborating with international and cross-functional teams in Emirates, France, Italy, Morocco, and Spain.
• I am fluent in Arabic, English, French, and Italian.

Work Experience

Chief Technology Officer at Neural Factory S.R.L. Oct 2025 – Present

• Leading the technical vision of an AI platform company serving Italian manufacturing SMEs.
• Designed a three-tier AI system combining knowledge graphs, conversational analytics, and autonomous agents for manufacturing digitization.
• Building AI-powered systems for document processing automation and multi-agent orchestration using AWS serverless architectures.
• Strategic partnerships with Alphabridge and Easynet Group.

Tools: Python, LangChain, AWS (Lambda, S3, ECS), Docker, MongoDB, FastAPI, Git.

Senior Artificial Intelligence Engineer at FairMind S.R.L. Apr 2024 – Sep 2025, 1 year 6 months

• Led R&D of a generative AI platform for software development acceleration.
• Designed production-ready LLM systems for code generation, built AI agents for complex problem-solving, developed model orchestration layers, and implemented guardrails for security and compliance.
• Contributed open-source models to HuggingFace including Minerva-3B-Instruct and multilingual adaptations.
• Provided technical mentoring to junior engineers.

Tools: Python, PyTorch, LangChain, HuggingFace, AWS, Docker, FastAPI, Git.

Senior Data Scientist at Stackhouse Apr 2022 – Mar 2024, 2 years

• Led the design and development of data-driven marketing AI solutions for Stellantis across the Enlarged Europe region.
• Led the design, development, and deployment of:
  • an Audience Classification system that increased conversion rate by more than 20% for all the brands of Stellantis in the Enlarged Europe region.
  • Accessories Recommendation engine to boost car accessories’ sales for all the brands of Stellantis in the Enlarged Europe region.
  • Churn Prediction system to spot customers that are likely to buy from competitors during next 12 months, for some brands of Stellantis in the Enlarged Europe region.

Tools: Python 3, Pandas, Numpy, Scikit-learn, PostgreSQL, Treasure Data, CDP, CRM, Jupyter Notebook, Git, Microsoft Office, Pivotal Tracker.

Senior Data Scientist at Athlos
Oct 2021 – Apr 2022, 7 months

• Reporting to the CTO, I led the design and development of web applications, recommender systems, and digital assistants (using Large Language Models) among other ML end-to-end solutions.
• In collaboration with the Arkys (a partner company) I led the development of a technological solution for the traceability and optimization of the waste management cycle.
• Deployed in production different Information Retrieval and Recommendation engines.

Tools: Python 3, Keras, Scikit-learn, Tensorflow, Django, Flask, MySql, SQLite, PubNub, Jupyter Notebook, Atom, Docker, Git, Google Suite, Trello.

R&D Data Scientist at AIBD
Jan 2018 – Oct 2021, 4 years

Data Scientist at Abinsula
Feb 2020 – Oct 2021, 1 year 9 months

• In collaboration with Abinsula and the company of its group focused on health platforms while reporting to the CEO of U4FIT (100K+ Downloads), I led the design and development of tailored state-of-the-art end-to-end ML SaaS products to help personal trainers support and guide people towards a healthy and active lifestyle.
• Helped U4FIT raise € 211.284,78 funding, reduce by 5x the workload of personal trainers, and increase athletes’ engagement.

Data Scientist at Eurecat
Apr 2019 – Jan 2020, 10 months

• In collaboration with Eurecat’s e-Health and Big Data Analytics units, I studied, designed, and developed Fairness and User Modeling algorithms to enhance personal trainers’ productivity while optimizing other Ethical Perspectives.

Data Scientist at AIBD vJan 2018 – Apr 2019, 1 year 4 months

• Led the design and development of user profiling and data visualization algorithms, in collaboration with researchers from the Department of Biomolecular Science of the University of Urbino, to help trainers in the U4FIT platform monitor the athletes they follow.

Tools: Python 3, Pandas, Numpy, Keras, Scikit-learn, Tensorflow, Flask, MySql, Jupyter Notebook, PyCharm, Git, PHP, CodeIgniter, AWS EC2, AWS S3, Google Suite, Trello.

Data Scientist at theShukran
Oct 2016 - Dec 2017, 1 year+

• Designed, developed, and deployed in production user recommendation, face recognition, and sentiment analysis algorithms for the shukran social network (500K+ Downloads).

Tools: Python, Apache Spark, GraphLab Create, Flask, MongoDB, Jupyter Notebook, PyCharm, Git, Google Suite, Trello.

Software Engineer
Sep 2012 - Oct 2016, 4 years+

I worked within different companies in Morocco and Italy as a Web/Mobile application developer. Here I list some of the main contributions:

• Contributed to the development and design of “In Volo con la Matematica” mobile app that brings together a series of fun exercises to get closer to mathematics (100K+ Downloads).
• Led the development of the mobile banking application for CIH Bank (1M+ Downloads).
• Led a team of 5+ members in the development of payments, deals, and discounts management application (web and mobile) for Dubai Plus.
• Contributed to the development of the Financial Information System web application for PMU (PMU is the third largest pool betting company worldwide).
• Designed and developed an end-to-end recruitment management web application on behalf of Alten Morocco.
• Co-founded a small company that helps small businesses digitalize their workflows.

Tools: JAVA, Android, CodeNameOne, PHP, JavaScript, JQuery, AngularJS, MySQL, SQLServer, MongoDB, Git, SVN, Google Suite.

Publications

• Fair performance-based user recommendation in eCoaching systems
  Journal: User Modeling and User-Adapted Interaction - UMUAI. (Q1 Level, IF: 5.412), Special Issue on Health Recommender Systems. Springer.

• Predicting Workout Quality to Help Coaches Support Sportspeople
  Conference: Proceedings of the Third International Workshop on Health Recommender Systems co-located with Twelfth ACM Conference on Recommender Systems - RecSys 2018. (Rank B1). CEUR-WS.

• Language independent sentiment analysis of the shukran social network using Apache spark
  Conference: Proceedings of the 4th Semantic Web Evaluation Challenge at the European Semantic Web Conference - ESWC 2017. (Rank A1). Springer.

Awards

• Winner of the 2nd prize during HackaMOL 2019: the competition of Product Development for “RoboSapiens: a distributed messaging system to help support agents manage communication with clients”.
• Winner of the 2nd prize during HackaMOL 2017: the competition of Artificial Intelligence for “An Intelligent Modelling for Fire Prevention System”.
• Winner of 3rd place at the 4th edition of the Semantic Web Evaluation Challenge (Task #1: Polarity Detection), SemWebEval 2017 for “Language independent sentiment analysis of the shukran social network using Apache spark”.

Speaking

• Presenter at ACM Conference on Fairness, Accountability, and Transparency
  Subject: Fair Performance-based User Recommendation in eCoaching Systems

• Presenter at ACM SIGCHI Summer School on User Modeling and Personalization in Urban Computing
  Subject: Exploiting recommender systems to support decision-making in eCoaching platforms

• Presenter at the Department of History Cultural Heritage and Territory, University of Cagliari
  Subject: An open lesson about Moroccan music in collaboration with the Interdisciplinary Laboratory on Music