Summary
Carlos Ávila is an R&D Director and versatile engineer from Guadalajara with eight years building data-driven backend systems, AI integrations, and scalable services across fintech, crypto, and enterprise SaaS. He leads multi-domain architecture and experimentation at Golden Black Llama while driving intelligent automation and agent-driven solutions at Paystand, blending pragmatic engineering with rapid prototyping. His background spans Kafka-backed knowledge graphs, LLMS integrations (AWS Bedrock), heavy ETL/analytics for high-volume systems like Chivo Wallet, and productionized scraping and reporting pipelines. A polymath with interests in sound healing and ancient languages, Carlos pairs a creator-first mantra—Fail/Create-Measure-Learn—with hands-on expertise in Scala, Python, cloud infra and ML orchestration to turn research into secure, user-centered products.
8 years of coding experience
7 years of employment as a software developer
Diplomado - SCRUM Workshop SCRUM, Diplomado - SCRUM Workshop SCRUM at ITESO Universidad Jesuita de Guadalajara
Biblical Hebrew – Level A Lengua y literatura hebrea, Biblical Hebrew – Level A Lengua y literatura hebrea at Israel Insitute of Biblical Studies
Natural Language Processing - Nanodegree, Natural Language Processing - Nanodegree at Udacity
Biomedical Engineering, Biomedical Engineering at Universidad de Guadalajara
Spanish, English