Available in Spanish and English — for universities, conferences, companies, and community events.
Interested? Email hola@pauvasquezh.com →
I reply within 2–3 business days and can adapt any format to your audience and context.
Developers · data scientists · tech community
Talk · 45 min + Q&A
The honest account behind Maieutic, the project that earned third place in Anthropic's global "Built with Opus 4.7" hackathon. I share the technical and pedagogical decisions made in 6 days, the paths I discarded, the prompts that made the difference, and what I learned about building AI products when time is the scarcest resource.
Technical and undergraduate students · vocational programs and universities
Talk · 45 min + Q&A
Three very different jobs —BCI, Cornershop, Uber Eats— and one shared lesson: the bottleneck was never the technique, it was understanding the business well enough to ask the right question. I revisit what AI changed, what became more important, and close with concrete guidance for students choosing a specialization and wondering where data science fits today.
Teachers · developers · Python community
Talk · 20 min + Q&A
When an AI assistant can hand over working code in seconds, what is a programming student supposed to learn? Drawing on six years teaching Python at university, I argue that writing code from scratch matters less than specifying behavior, reading code critically, and noticing the gap between intent and implementation. I illustrate it with Maieutic, the environment I built to train those durable skills instead of producing code.
Teachers · academic leadership teams
Talk · 60 min (or 3h Workshop)
AI detectors don't work. Banning use doesn't either. I propose a practical framework for redesigning assessments in the LLM era, with concrete examples from courses that have shifted the needle: rubrics that incorporate AI use as a criterion, oral exams, portfolios, and projects that assume access to the tool.
Academics · education researchers · teaching innovation teams
Talk · 45 min
A conceptual framework I'm exploring in my doctoral research, illustrated through Maieutic. I argue that most current AI use in education replicates a banking model of information transfer — and that an alternative exists: using LLMs as Socratic interlocutors that return questions instead of answers.
Undergraduate students · upper secondary students
Talk · 45 min + 15 min Q&A
Not a talk about "using ChatGPT well." A talk about the difference between being efficient and learning — two things that often contradict each other. Live demos show how the same question, asked three different ways, produces three very different learning outcomes.
Secondary school students
Talk · 45 min
No jargon, no paternalism, no alarmism. A direct conversation about what a language model is and isn't, why it sometimes gets things confidently wrong, and what that means for how they study, decide, and relate to information.
Undergraduate students · CS and Innovation programs
Talk · 30–45 min
The story of how a project that started as a research question ended up competing — and winning — in a global Anthropic hackathon. Designed for students who feel "these things aren't for them."
Undergraduate students · professional mentoring
Talk · 30–45 min
BCI → Uber Eats → UDD → PhD in AI. A narrative talk about the leaps, pauses, and decisions that didn't seem to make sense at the time but, looking back, formed a coherent path.
Undergraduate students · induction weeks
Workshop · 1 day (hackathon format)
Each participant arrives with an idea and leaves with a working prototype built with Claude. No prior AI experience required. Inspired by my own experience building Maieutic in 6 days.
Academics and researchers who study AI but don't build it
Workshop · half day (3–4h)
For researchers accustomed to seeing AI as an object of study, not a tool. Participants leave with a navigable prototype and a validation plan for real users.
Schools · STEM programs · diversity initiatives
Talk · 45 min
A talk that blends personal history, evidence, and a concrete invitation. I share my path from student to AI researcher, and why the composition of who builds these technologies matters far more than it appears.
Technology · innovation · higher education conferences
Keynote · 30–45 min
A keynote about what changed — and what didn't — in how products are built when LLMs moved from novelty to infrastructure. I use Maieutic as a thread to discuss speed, judgment, and why the bottleneck in 2026 isn't the technology but the questions we decide to ask it.
