Summary
Carlos Bernal is an R&D senior software engineer with 11 years of experience building high-performance distributed systems, specializing in C++ and Python for networking, data pipelines, and microservices. Based in Getafe, he currently focuses on AI-driven digital protection—integrating custom LLMs, graph feature engineering, and content classification to keep children safe online—while designing scalable backend architectures with Kafka, Redis, MongoDB and SingleStore. His background spans real-time simulation and inference engines for defense, industrial computer vision for automotive manufacturing, and SaaS/PaaS product architecture, giving him a rare blend of low-latency systems and cloud-native service design. He’s repeatedly delivered parallel, horizontally scalable workers and event lakes capable of ingesting millions of events per second, and has hands-on experience implementing GDPR-compliant anonymization and access controls. Colleagues rely on him for deep systems thinking, pragmatic performance optimizations, and turning complex, unstructured data into actionable ML features.
11 years of coding experience
7 years of employment as a software developer
Ingeniería computadores Ingenieria Informatica, Ingeniería computadores Ingenieria Informatica at Universidad Nacional de Educación a Distancia - U.N.E.D.
English, Spanish