Caio Casimiro is a Senior System Engineer with 12 years of experience building low-latency, systems-level solutions across algorithmic trading, IPTV video routing, and API gateway observability. Currently at Kong, he has moved from machine learning and data engineering roles to shaping core systems that power Konnect and real-time traffic anomaly detection. He holds a MSc and a BSc in Information Systems from the University of São Paulo, where he researched temporal aspects of recommendation systems. Comfortable in C++, Python, and Kubernetes-driven deployments, he combines hands-on cross-compilation and embedded/STB experience with cloud-native data pipelines. Pragmatic and curious, he gravitates toward problems where tight latency constraints and constrained environments force elegant, efficient designs.
12 years of coding experience
10 years of employment as a software developer
Master Sistemas de Informação, Master Sistemas de Informação at USP - Universidade de São Paulo
Contributions:12 pushes, 3 branches in 2 years 8 months
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