01 · Build
Useful ML and AI systems
I work on machine learning models, LLM applications, retrieval-augmented systems, and agentic workflows that turn promising ideas into thoughtful, usable tools.
What I do
Build, evaluate, and understand
I use data science, machine learning, and AI to help teams build useful systems, understand how they perform, and make better decisions about the people and products they serve.
02 · Evaluate
Models, systems, and impact
I design evaluations that connect model quality, system behavior, and human judgment with product metrics and experiments—*all so teams can improve with evidence rather than guesswork.
03 · Understand
Behavior, impact, and opportunity
I use experimentation, causal inference, predictive modeling, and behavioral data to understand what changes outcomes and where products can better serve people.
Selected work
Research with practical purpose
My public work spans machine learning, reliable AI, behavioral modeling, and learning. These pieces offer a starting point for the questions I like to explore.
Interpretable neural networks
Designing neural models whose explanations are grounded in the way they actually make predictions.
LLM-supported classification
Using LLM-based filtering to make rare, high-value behaviors easier to identify and study rigorously.
Agentic learning systems
Exploring adaptive, narrative AI experiences through open-source work on personalized learning systems.
A little more about me
A human-centered path into AI
I came to data science by way of ancient history, linguistics, learning experience design, and educational research. That path taught me to pay attention to how people make meaning and how to communicate complex ideas clearly.
Today, I bring those perspectives to data science, machine learning, and AI: combining rigorous methods with curiosity, creativity, and a desire to make technology more useful to real people.
Research
Curiosity, made useful
I've authored peer-reviewed work on interpretable AI, learner modeling, LLMs, and equitable educational technology. Research remains one of the ways I test ideas carefully and share what I learn. It also allows me to stay up to date with the latest advances in the field.
Outside work
Always learning something new
I grew up in Colombia 🇨🇴 but have spent most of my life in the United States. I speak Spanish and English, love dabbling in other languages, and enjoy noticing the variety of people and places around me.
When away from my keyboard, I'm usually paddleboarding with my kids, biking through central Illinois, looking for birds 🦜, or taking photographs along the way.
Contact
Let’s talk
For data science, machine learning, and AI roles; research collaborations; and professional conversations about evaluation, experimentation, causal inference, or behavioral analytics, email me at juan@jdpinto.com.