Vasiliki Dalakiari is an Engineering Lead specializing in AI and software development, with a strong focus on building meaningful, human-centered tech solutions. She is an active member of the Python community as an organizer of PyGreece, and a Women Techmakers Ambassador, advocating for inclusive and accessible technology. Through her talks and workshops, she aims to make complex technical topics easy to grasp and directly applicable. Vasiliki is also the co-founder of Boundless Minds, a community that supports open, authentic conversations around tech, personal growth, and soft skills.
Vasiliki Dalakiari is an Engineering Lead specializing in AI and software development, with a strong focus on building meaningful, human-centered tech solutions. She is an active member of the Python community as an organizer of PyGreece, and a Women Techmakers Ambassador, advocating for inclusive and accessible technology. Through her talks and workshops, she aims to make complex technical topics easy to grasp and directly applicable. Vasiliki is also the co-founder of Boundless Minds, a community that supports open, authentic conversations around tech, personal growth, and soft skills.
How do you build a recommender system that goes beyond genres and understands how people feel?
In this talk, we’ll share the journey of building Movie Groovy, a GenAI-powered application that recommends movies based on vibes and emotional preferences. You’ll get a look into how we combined LLMs, Agents in Python, Vector DBs, and custom UX logic to create an easy and emotionally-aware experience.
Along the way, we’ll highlight the technical challenges, design decisions, and surprising insights that came from balancing user trust, AI accuracy, and creative UX. If you are interested in GenAI, recommender systems, human-centered design, or just … movies, this talk will give you actionable ideas and inspiration for your own projects.
