Summary
Michael Accetto is an ML engineer and product-minded technologist with nine years of experience building neurosymbolic, human-centered AI systems from research to production. As CTO of seederis.ai and ML lead across startups and consultancies, he combines GraphRAGs, agentic workflows and ergonomic UIs to deliver grounded, interpretable inference for complex domains. He has hands-on expertise fine-tuning and deploying LLMs and deep models, and translates messy business needs into scoped, impact-driven technical requirements. Michael also mentors teams, provides technical strategy and develops AI-driven web apps aimed at responsibly democratizing model access. An educator by background, he draws on formal training in AI and psychology to bridge symbolic reasoning, probabilistic methods and user-focused design. Based in Brussels, he actively fosters interdisciplinary AI collaboration through community initiatives that connect builders, researchers and domain experts.
9 years of coding experience
4 years of employment as a software developer
Artificial Intelligence Computer Science, Artificial Intelligence Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelor's degree Psychology, Bachelor's degree Psychology at Alma Mater Studiorum – Università di Bologna
English, Italian