Summary
Diego Paiva is a Full Stack Software Engineer from Minas Gerais, Brazil with eight years building large-scale telephony and real-time communications platforms. He has repeatedly designed and implemented AI-based Answering Machine Detection models that cut misclassifications by ~50% and reduced operational costs by nearly 20%, demonstrating a rare blend of ML, VoIP, and systems engineering. Comfortable across TypeScript, Python, Node.js, React and cloud services, he ships end-to-end features and observability tooling for high-throughput systems (Callix’s platform handled ~10M calls/day). Diego’s background in vehicle routing research and C++ simulations reflects a strong algorithmic foundation that informs his practical optimizations in call deliverability and distributed reliability. He thrives on solving messy, production-facing problems—from restoring telephony uptime to improving UX—and brings both hands-on execution and measured technical leadership to fast-moving teams.
8 years of coding experience
5 years of employment as a software developer
Bacharelado Ciência da Computação, Bacharelado Ciência da Computação at Universidade Federal de Juiz de Fora
English, Portuguese