Speakers

Explore the brilliant minds at Ai4, actively applying artificial intelligence in leading organizations and navigating our AI-powered future. See our 2026 speaker lineup below and stay tuned for our 2027 lineup.

Leticia Lorena Rodriguez

Leticia Lorena Rodriguez

Independent Researcher / Founder

Universidad de Buenos Aires / TEG AI Consulting, Argentina

About Leticia Lorena

Leticia Lorena Rodríguez, Professor in Computer Science, is the Founder of TEG AI Consulting and an Invited Professor at the University of Buenos Aires, dedicated to bridging the gap between academic research and enterprise innovation. Her journey in technology began early; coding by age 12 with dreams of becoming a software engineer, she launched her professional career at just 18 at PeopleSoft, straight out of high school.

Over the next 15 years, Leticia built a robust foundation in the corporate tech industry, including a tenure as a Senior Software Engineer and Team Leader at MercadoLibre. Driven by a growing fascination with computer science and education, she took a bold step: leaving the corporate world to join a research facility at CONICET as a Research Support Technician. During this transformative period, she began formalizing her academic expertise, eventually earning her degree as a Professor in Computer Science from the University of Buenos Aires (UBA).

In 2017, discovering Artificial Intelligence through online courses became the catalyst that completely redefined her trajectory. From that point on, her passions for scientific research, university-level teaching, and software engineering converged entirely around AI. This deep specialization propelled her to Google, where she served as an AI Consultant, advising C-level executives and leading AI engineering teams to deploy cutting-edge Generative AI solutions.

Today, Leticia continues to shape the future of tech and learning in LATAM through multiple avenues. Alongside her roles at the University of Buenos Aires and TEG AI Consulting—where she focuses on empowering organizations through specialized AI education, governance, and advisory services—she is deeply engaged in independent scientific research. Focusing on Explainable AI (XAI) and AI Safety, her independent work culminated in the publication of her paper, "Explaining is Harder Than Predicting Alone: Evaluating Concept-based Explanations of MLLMs as ICL Visual Classifiers," which she is proudly presenting at this conference.

Industry
Consulting & IT Services
Job Function
AI/ML
Company Size
1-10 employees

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