Summary
Miguel Rodriguez is a software engineer with a decade of experience and a strong foundation in data science, statistics, and economics, currently building systems at Microsoft. He blends hands-on SWE skills—API design, .NET containerization, and Azure CI/CD—with practical data work like SQL pipelines and regression and clustering models developed during roles at Catalyst Off-Grid Advisors. A UC Berkeley Data Science graduate, he has shifted smoothly between research-style data tasks and production engineering, showing comfort with both large-scale query/notebook environments and production REST services. His internship projects include reworking networking-monitoring APIs and mining Windows telemetry to improve update experiences, indicating an ability to translate messy, large datasets into actionable product improvements. Outside core work he’s led a competitive robotics team, managing budgets and manufacturing, hinting at strong project leadership and hands-on engineering instincts. Based in Santiago, he combines cloud-first software engineering with real-world data science experience to tackle cross-disciplinary problems.
10 years of coding experience