Summary
Oscar Carrillo is a seasoned tech lead with 16 years of experience building high-performance, enterprise-grade systems at the intersection of ML/AI and large-scale backend engineering. Currently leading tokenization initiatives, he combines rigorous algorithmic thinking with practical DevOps and CI/CD practices to accelerate delivery and maximize business impact. His background spans financial services and telecoms—driving JVM/Scala upgrades, cutting build times by 40%, and modernizing Jakarta/Spring Boot stacks—while also designing developer-focused IDE extensions that surface advanced AI models. An experienced mentor and polyglot engineer, he blends data engineering, feature engineering and model deployment expertise with hands-on work in Kafka, Spark, Kubernetes and microservices. Based in Lower Saxony, Germany, Oscar’s uncommon strength is turning ambiguous problems into validated, production-ready solutions that measurably improve developer productivity and operational resilience.
16 years of coding experience
13 years of employment as a software developer
Nanodegree Data Streaming, Nanodegree Data Streaming at Udacity
Master of Science (M.Sc.) Software Engineering, Master of Science (M.Sc.) Software Engineering at University of Liverpool
Specialization in Data Science Data Science, Specialization in Data Science Data Science at Coursera (Johns Hopkins University)
Executive Certificate Strategy and Innovation, Executive Certificate Strategy and Innovation at Massachusetts Institute of Technology
Online X Programs Tackling the Challenges of Big Data, Online X Programs Tackling the Challenges of Big Data at MIT Professional Education
Engineer Systems Engineering, Engineer Systems Engineering at Universidad Industrial de Santander
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Georgia Institute of Technology
Spanish, English, German