Founded Studio Atelico, an AI-first games studio building a proprietary on-device AI Engine for video games. Raised $5M seed round led by Air Street Capital.
Biography
Piero Molino is CEO and Co-founder of Studio Atelico, an AI-first games studio building on-device AI engines for video games. Previously, he was CEO, CSO and Co-founder of Predibase (acquired by Rubrik for $100M+ in June 2025), a platform for fine-tuning and serving large language models.
He is fascinated by the connections of knowledge, language, and learning, and applies a multidisciplinary approach to challenging problems at the intersection of artificial intelligence and human experience. He created Ludwig - the declarative deep learning framework, now a Linux Foundation AI project - which has been used at scale across industry and academia.
Curriculum Vitae
Experience
Co-founded Predibase with Travis Addair, Dev Rishi, and Prof. Chris Ré. Predibase made fine-tuning and serving LLMs easy, efficient, and cost-effective through Ludwig and LoRAX. Acquired by Rubrik for $100M+ in June 2025.
Working in Prof. Chris Ré's Hazy Research group on ML systems.
Worked on research and applications in Dialogue Systems, Natural Language Processing, Deep Learning, Reinforcement Learning, Graph Learning and Meta-Learning. Created Ludwig - a declarative deep learning framework - and worked on several impactful applied ML projects including NLP for Customer Support and Graph Learning for Uber Eats Recommender Systems.
Worked on dialogue systems research and applications, using Natural Language Processing, Deep Learning and Reinforcement Learning techniques.
Uber acquired Geometric Intelligence (New York Times, TechCrunch) and created Uber AI Labs, where I worked on Natural Language Processing with Deep Learning. I created Uber's internal Deep Learning and NLP experimentation framework and used it in the customer support application COTA.
Worked at Geometric Intelligence, a NYU startup led by Gary Marcus and Zoubin Ghahramani, experimenting on advances in AI using Deep Learning models for hybrid language, vision and knowledge tasks.
Worked on several NLP and ML projects: question understanding, semantic models for cognitive search, question answering, query correction and autocomplete, text classification and knowledge induction with Deep Learning.
Founded QuestionCube, a startup working on question answering, and developed Wikiedi, PArisponde (winner of the Apps4Italy special prize), and AQPrisponde.
Worked on generative design and data visualization at Italian design firm FF3300.
Research on semantic models and network-based approaches for community question answering at Yahoo! Labs in Barcelona.
Journalist, head editor of the Nintendo section, and video editor for Everyeye.it. Wrote more than 40 articles and 20 video-articles about video games.
Education
PhD in Computer Science with a thesis on semantics and question answering
Master in Computer Science with a thesis about a question answering framework
Bachelor in Computer Science with a thesis about serendipity in recommender systems
Skills
Coding
Main: Python, Rust
Experienced: JavaScript, Java, PHP, R, HTML, CSS, SQL, C++, GDScript
Artificial Intelligence & Machine Learning
Large Language Models, Fine-tuning (LoRA, QLoRA), LLM Serving, Deep Learning, Natural Language Processing, Question Answering, Information Retrieval, Reinforcement Learning, Graph Learning, Meta-Learning, AutoML, Computer Vision
Frameworks & Tools
PyTorch, Ludwig, LoRAX, HuggingFace Transformers, Scikit-learn, NumPy, Pandas, spaCy, Docker, Kubernetes, AWS, GCP
Development
AI Systems, Backend, Web, Mobile, Games
Interests
Videogames
Graphic Novels
Computational Art
Literature
Philosophy
Photography