Fausto Inestroza is an accomplished engineering lead with a wealth of experience in data infrastructure and product development. He currently leads the development of data pipelines, data services, and platform infrastructure at Earnin, a fintech company. Previously, he worked as a Senior Data Engineer at Apple and Silicon Valley Data Science. He has a strong academic background, having earned a B.S. in Management Science & Engineering from Stanford University.

Fausto's expertise is in building data systems and infrastructure for machine learning and data science teams. He has experience working with cloud-based distributed architectures, stream processing, and large-scale data and model management. He also has experience building analytical systems and experimentation platforms.

In addition to his work at Earnin, Fausto is a talented educator. He is an adjunct lecturer at Northwestern University’s Masters of Science of Analytics program, where he co-lectures a course on the development and deployment of analytical and machine learning data products. In this role, he teaches students about model versioning, reproducibility, effective data architecture for model development, and A/B testing.

Overall, Fausto Inestroza is a highly skilled and experienced engineering leader with a strong background in data infrastructure and product development. He excels at building data systems and infrastructure for machine learning and data science teams, and is passionate about educating the next generation of data professionals through his work as an adjunct lecturer.