Summary
Nicolás Mazza is a Senior Tech Lead and R&D engineer with 8 years of experience building and shipping 50+ AI and computer vision projects across healthcare, finance, aerospace and retail. He blends rigorous academic training in statistics and data science (Master’s from UTEC/MITx) with hands-on systems engineering in Python, C++, React and cloud platforms (GCP, AWS, Azure) to move research prototypes into scalable production. As a multi-time co-founder and Tech Lead, he has delivered applied solutions from airport facial recognition to medical screening and large-scale customer segmentation, often leading cross-functional teams through full ML lifecycles. He favors pragmatic, production-first design—containerized deployments, CI/CD, and data engineering with Databricks/Snowflake—while maintaining strong roots in research areas like deep learning for vision, RL and NLP. Based in Uruguay, he’s comfortable switching between low-level C++ performance work and high-level cloud-native architectures, and brings a founder’s appetite for practical impact and rapid iteration.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Statistics and Data Science, Master's degree, Statistics and Data Science at UTEC - Universidad Tecnológica
Micro Master's degree, Statistics, Micro Master's degree, Statistics at Massachusetts Institute of Technology
Deep Learning for Computer Vision, Deep Learning for Computer Vision at Universidad de la República
Computer Software Engineering, Computer Software Engineering at Universidad Católica del Uruguay 'Dámaso Antonio Larranaga'