Lucas Lavandeira is a software engineer and teaching assistant with 10 years of experience building and operating cloud-native, production-ready machine learning and big data systems. He has led design and reliability efforts for high-throughput distributed platforms—handling millions of events per minute—at Mantika and helped migrate MuleSoft’s Anypoint Exchange to first-party infrastructure while managing 20+ microservices on EKS. Based in Argentina, he combines hands-on engineering with academic grounding as a TA in Operations Research at the University of Buenos Aires and is completing a Master’s in Computer Engineering. Comfortable at the intersection of data science and DevOps, he excels at turning ML prototypes into maintainable production services and mentoring students through practical problem-solving.
9 years of coding experience
9 years of employment as a software developer
Masters Computer Engineering, Masters Computer Engineering at University of Buenos Aires
Aplicación en Django y ElasticSearch de la API de series de tiempo basada en el Perfil Nacional de Metadatos de la política de apertura de datos de la APN.
Contributions:59 releases, 1711 commits, 391 PRs in 2 years 5 months
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Lucas Lavandeira - Teaching Assistant at University of Buenos Aires