Patricio Gerpe is a Senior AI Engineer and R&D consultant from Argentina with a decade of experience building AI-driven products and decision analytics across industries from banking to healthcare and pet tech. He co-founded the Argentine AI Community IA AR and blends hands-on engineering with strategic roles—having served as CTO, Fractional CTO, and currently as an AI Engineer (and unofficial CMO) at Multiply where he optimizes AI-native ad creatives. His background spans founding AI/RPA startups, leading social-impact tech at ENPOV (with a Springer-published optimization algorithm), and delivering MLOps and platform modernization across LATAM. Patricio combines technical depth in full-stack AI systems with cooperative and social innovation experience from large worker-owned software cooperatives. He’s a frequent speaker and researcher who turns complex operational problems into automated decision-support and feedback-loop driven products. Notably, his career mixes startup grit, published research, and community building—making him as comfortable deploying production ML pipelines as advocating for ethical, cooperative tech.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Business Administration - BBA, Business Administration and Management, General, Bachelor of Business Administration - BBA, Business Administration and Management, General at Hult International Business School
Master's Degree in Data Exploitation and Knowledge Discovery, Computer Science, Master's Degree in Data Exploitation and Knowledge Discovery, Computer Science at University of Buenos Aires
Bachelor of Psychology, Psychology, Bachelor of Psychology, Psychology at Universidad de Palermo
[DESAFIO] ¿Cómo hacer que una computadora ( inteligencia artificial ) juegue mejor que un humano al truco? El Truco es un juego de cartas Argentino popularmente jugado en el todo el país y el cono sur. Es un juego de estrategia competitivo basado en turnos, de estados finitos e información incompleta, lo cúal quiere decir que los jugadores basaran sus estrategias en base a especulaciones en cuanto a las cartas de los demas. En los últimos tiempos, han existido numerosos articulos cientificos implementando modelos de aprendizaje reforzado en juegos de dichas caracteristicas. No obstante, aun no hay ningun trabajo que haya analizado este particular juego Argentino y su estadistica (probabilidad). El próposito de este proyecto es analizar este juego desde un aspecto computacional para poder, luego, modelar un agente de aprendizaje reforzado. Para dicho fin, primero vamos a hacer una revisión de los trabajos cientificos en juegos similares (como el poker), luego conceptualizar algunos terminos clave en función del comportamiento y estilo cognitivo de jugadores de truco y finalmente, proponemos a la comunidad el involucramiento en el desarrollo de un agente de aprendizaje reforzado para resolver este problema.
Contributions:63 commits, 2 PRs, 68 pushes in 3 years 7 months
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