At just 18, Leonardo Lopez has already navigated a path few would dare to imagine. His work throughout his young career has been marked by early experimentation, an interest in AI, and a lasting desire to make systems feel natural, personal, and genuinely useful for regular people.
Now, as a software engineer at Delphi, he spends his days working on tools that let people create “digital minds:” AI versions of themselves that can answer questions, share knowledge, and help others on demand. Lopez works on everything from the parts users see on the screen to the systems running in the background, making sure the technology stays simple to use, accurate, and able to handle the growing number of people relying on it.
Lessons From Building for Hundreds of Thousands
Originally from Spain, Leonardo Lopez already had an interest in technologies like AI and how they could be applied in day-to-day life. His first hands-on experiment was creating a ChatGPT-powered Discord bot that unexpectedly exploded in popularity, gaining thousands of users in a matter of weeks. At the time, he was just 15 and learning infrastructure as he went, figuring out how to handle bugs, figuring out how to expand the platform, and managing stressed servers — all while still in high school.
“There was a point where we had 600,000 active users in a single month,” he recalled. “More than many startups have before raising funding. It was exciting, but the pressure was huge.”
The experience left him with two key lessons, which he would carry to his later engineering work. First, scalability is as much about people as it is about code, and getting others aligned around the same vision matters when systems grow quickly. Second, technical foundations can make or break an ambitious project. As he explained, the bot ultimately shut down because the infrastructure couldn’t keep up and the team lacked the same long-term direction.
But beyond the specific success of the bot, this proved to be a larger turning point for Leonardo, as it showed him how great ideas only become lasting tools when built on solid engineering.
Inside Delphi’s Mission and Technology
Today, those lessons shape his work at Delphi, a company building technology that lets people generate AI-powered “digital minds” of themselves.
These digital minds function like interactive versions of their creators, trained on material that users themselves upload (whether those are videos, academic texts, or conference transcripts), so others can ask questions and receive accurate answers that also feel authentic. The idea is to capture what someone knows and make it available on demand, effectively giving users a tool to work and communicate with others in an asynchronous way.
“As we grow, everyone is going to want to have their own Delphi and be able to scale their mind,” Lopez said.
Behind the scenes, Delphi combines conversational models with personalization tools and user-friendly interfaces. The goal isn’t to automate human relationships but to remove the time barriers around knowledge-sharing. A mentor, for example, could make their advice available to dozens of students simultaneously, or a creator could reach out to a global audience without having to repeat themselves, be online at all hours, or speak multiple languages.
Lopez even has a personal Delphi account to answer common questions from mentees regarding his career, allowing them to access his insights instantly at any moment from any country. It’s that particular mix of technical challenge and real-world usefulness that keeps him excited about building the platform.
His Different Engineering Roles
At Delphi, Lopez takes on a wide-ranging engineering role, as he contributes to just about every layer of the platform. On the front-end, he works on the interfaces that allow people to create and interact with their digital minds, focusing on layouts and features that even non-technical users can grasp and understand. On the back-end, he helps develop the internal systems that process conversations, store knowledge securely, and deliver accurate responses.
Lopez also works on the infrastructure side, making sure Delphi’s systems can handle its growing number of users without slowing down or breaking down during moments of high demand. It’s a mix of building new features, refining ones already in use, and constantly testing how the platform performs at scale.
What ties these responsibilities together is his focus on simplicity above all else. For Lopez, a powerful model matters little if the interface is clunky or the system crashes under real-world demand. As such, each feature he builds aims to ensure the technology (both in front of and behind the scenes) genuinely works for people instead of creating more complexity.
A Broader Vision for AI’s Role
Beyond Delphi, Lopez sees AI as a way to free people from routine tasks so they can focus on creativity, problem-solving, and the work they actually enjoy. He often cites email as an example of something he hopes AI will handle entirely, letting humans reclaim time from inbox management and other digital chores.
The ultimate goal, he believes, is to build systems that feel not so much like tools and more like extensions of how people think and communicate. As Delphi continues to improve and its interface becomes more accessible, he imagines personal agents, tailored to the individual yet capable of operating at a massive scale, becoming more and more mainstream and ushering in a new way of communicating with a network of peers and regular people alike.
“I want people to be able to do what they really want to do,” he said, “and let AI handle the rest.”
Through his work at Delphi, Leonardo Lopez is building not only the systems behind digital minds, but he’s also paving the way for a future where technology quietly empowers people to spend more time on what matters most.
