Summary
Pablo Manzi is a Senior Software Engineer with 11 years of experience building large-scale backend systems and production ML pipelines, currently contributing at Bloomberg after roles at Amazon and Ekumen. He has a strong track record productionizing online and offline deep learning models, designing MLOps and low-latency, high-throughput microservices for customer-facing products like Prime Video and Alexa. His early work on AR/VR tooling includes shipping the Google ARCore SDK for Unity, JNI wrappers and engine plugins, reflecting a blend of systems, C/C++ and cross-platform integration skills. Pablo also has an academic background in electrical and software engineering and experience teaching probability, statistics and linear algebra, which informs his rigorous approach to model evaluation and observability. Notably, he has delivered solutions that balance strict latency SLAs (<1 ms) with high load and has hands-on experience rebuilding pipelines when model drift occurs.
11 years of coding experience
8 years of employment as a software developer
Electrical Engineer, Electrical Engineer at University of Buenos Aires