Eduardo studied political science and economics at ITAM where he became interested in statistical models. Upon graduating, he joined Data4, a consulting firm specialized in research and data analysis for companies in Mexico and the US. Later, he continued his studies with a Master’s degree in Data Science in NYU—his first exposure to artificial intelligence as a field—and decided to devote his career full time to technology. After finishing his graduate studies, he joined Unbabel in Lisbon as an AI Engineer and later an AI Manager. Now, at Auba, he is a crucial element of our AI department where he works on creating a model that structures data to help solve supply chain disruptions.

Passion can take many forms; it’s all about finding the one that works best for you.

When he was a highschool student, Eduardo—or Edu, as most of his friends call him—thought he understood his passions well enough. If anything inspired him was a hope to improve his native country of Mexico and build a better society for his fellow Mexicans. Thus, the path going forward seemed clear: pursue a career in political science and economics, join the public sector, and begin a long career of lasting change.

As a first step in the journey, he enrolled as a double major in political science and economics at ITAM—one of Mexico’s premier social sciences universities. He was a self-described “dreamer” and saw, in his college years, the promise of impact that first drove his passion.

Given his political mind, it was perhaps expected that Edu would run for student government during his time at ITAM. And so he did, trying to become the student representative for the political science major. Yet, in so doing, he would come face to face with a disappointing aspect of politics. In order to win an election, one did not need clever proposals or a profound passion for change; rather it was all a complex game of lobbying to gain votes when needed. This was not the politics Edu had envisioned as a means to change Mexico. After those elections, his initial passion was looking for a new object upon which to devote itself. 

The answer to this uncertainty—the new object for Edu’s passion—would take some years to emerge. He took some initial steps while still in college. Making his way through different courses, Edu discovered that his interests lay not with the typical political science course but with those more focused in statistics and causal inference. There was, in such courses, something more profound about reality; some element of factual information to be deduced from data—and a starting ember for a future interest in algorithms and data as a whole.

Edu’s data-driven curiosity took little time to exhibit itself outside of the classroom. During his last years at ITAM, he began working as an intern data journalist in El Economista—one of Mexico’s most widely read newspapers—, transforming complex data into useful information for readers. To this day, his mother still holds a copy of the paper in which Edu’s writing made it to the front cover.

Upon graduating—and after a brief stunt working at a company gathering data from Mexico’s legislature—, Edu continued his data-focused path by joining Data4, a novel consulting firm started by one of his college professors. In a way, it resembled the world of startups, setting up shop in the founder’s living room instead of a fancy office space. In a few years, the team grew rapidly from an initial three person group to over 15 employees. “I guess I’ve always been into startups;” Edu said as we spoke of those early years. “I’ve always liked building things from scratch.” A bootlegged nature that would serve as yet another step in building his new path to passion.

While at Data4, Edu’s interest in data would only come to grow. With a desire to better understand information structures and expand his comprehension of computers, he applied to Master’s degrees abroad. Here, Edu moved to the US and pursued graduate studies in data science at NYU.

The years of his Master’s are those in which the building blocks for a newfound passion finally fell into place. Before NYU, Edu knew he was broadly interested in data and had an inkling that rapid building companies were a place for him to grow. But it all came together with two subjects: Artificial Intelligence and Natural Language Processing (AI, and NLP). As he continued his path across NYU, his data classes all seemed to be building towards this new technology everyone was excited about. Following his interests, Edu decided to delve deeper into the field and build his own model to be trained with existing data. It was nothing too fancy; if anything, it was a simple structure meant more for teaching students the basics of AI than to yield complex results. But the moment Edu saw his machine  processing data as he himself had done years before in college, something immediately clicked. A new form of excitement had finally taken over him. “It was something I built myself,” Edu recalls with a tone of passion in his voice, “and you know,  it actually worked!” 

The passion of a highschool Edu had returned but, instead of changing Mexican politics, his eyes were now set on contributing to the world through advancements in AI.

Instead of returning to Mexico as he had originally expected, Edu knew he had to devote the next stage of his career to advancing AI. During a Friday lecture at NYU, he met the CTO of Unbabel and decided to apply for the company’s AI engineering division, only to later discover they were based in Lisbon. But what was a change of country if it meant spending his life building the technology that fueled his passion for change? For the next four and a half years, Edu worked for Unbabel’s Applied AI division in Lisbon, shifting from the engineering side of the company to team’s management. 

 When he left Unbabel, Edu knew that his time in AI hadn’t finished. His passion was too large to be left unattended. So, answering a message from an old family friend—who happened to be Auba’s CEO—, he learned of a new project trying to apply AI to international supply chains. He joined Auba soon after. Now, as a member of our team, he works in the AI engineering division building cutting-edge technology to lessen disruptions and make the world of supply chains more efficient. All of this while, in the process, fueling that passion for data that had waited many years to ignite. His fire now lights the path for Auba, and keeps Edu within his beloved realm of AI.