I’ve worked as an AI engineer at places like Northwestern University, Yale University, and Silicon Valley, having both published AI research in prestigious publications like Nature and also deployed AI within live production systems serving tens of thousands of users.

I build AI systems people can actually use: agent workflows in your stack, demos your team can click through, and ML pipelines when you have real data volume.

Who I’ve Helped

  • Small businesses automating sales and marketing and admin workflows through AI agents. Projects include:
  • SaaS and consumer applications looking for how to power their products with AI. One example includes integrating cutting-edge voice and video AI models to create custom AI avatars.
  • AI meditation coach agent that generates guided wellness exercises grounded in expert-defined best practices in relationship-building. (Demo link)
  • Product and engineering teams integrating LLMs into internal tools and customer-facing platforms.
  • Academic labs researching online behavior, political expression, and social media influence.
  • Civic and policy-focused organizations applying AI to large-scale behavioral and demographic data using LLMs and predictive models.

How I Work

Most projects start with a 2-week scoped sprint focused on a clearly defined goal.
At the end of the sprint, you’ll walk away with a working prototype, demo, or system component you can evaluate and build on. From there, we can continue into a longer-term engagement or handoff—whatever fits your needs.

Ready to build?

If you’re exploring how to apply AI or LLMs in your product, research, or workflow, I’d love to hear what you’re working on.

Most projects start with a short 2-week sprint focused on prototyping or evaluating a clear goal. You’ll walk away with a working demo, a real system component, or a strategic recommendation to move forward.

📬 Reach out at markptorres1@gmail.com or schedule a meeting via my Calendly link.