Fabrizio Graffe is a Data Platform Engineer with a decade of hands-on experience building scalable data and backend systems across fintech, gaming, and cloud platforms. He combines a Computer Science background from UBA with practical expertise in Scala, Spark, Kotlin, Terraform and cloud-native infra to design ETL pipelines, recommendation systems and platform tooling for companies like SecurityScorecard, Wildlife Studios and Mercado Libre. His master’s thesis fused blockchain and machine learning to explore decentralized marketplaces for AI models, reflecting a sustained interest in private ML, SMPC and privacy-preserving methods. Comfortable moving between full-stack, data science and platform engineering roles, he has repeatedly driven ML prototyping into production-grade Spark pipelines and infrastructure-as-code. Outside work he channels creativity through music and cinematography, and remains drawn to teaching programming to the next generation.
10 years of coding experience
8 years of employment as a software developer
IT Technician, IT Technician at EET N°5, Lanús
Ingeniería en Informática Computer Science, Ingeniería en Informática Computer Science at University of Buenos Aires
Participant in Federated Learning scheme that can take the role of training a local instance of model or calculate the error of the federated model using local data.
Contributions:56 commits, 16 PRs, 30 pushes in 4 months
schemefairness-mlpythondockermachine-learning
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