Matthew Robinson

I am a software engineering professional with six years of production experience and a unique ability in systems design with a specialization in Machine Learning Systems. My career has spanned building greenfield, cloud-native applications across various domains. This includes distributed networking, public health data management, and geospatial data processing and visualization projects, notably for prestigious organizations like NASA IMPACT. My focus has been leveraging bespoke systems design to address technical challenges with practical solutions.

I have a diverse skill set, including Python, Rust, cloud-native architectures, and machine learning systems design. This enables me to develop collaborative software solutions, particularly Application Programmable Interfaces (APIs) for Anomaly Detection, Natural Language Processing, and Computer Vision. My contributions have led to impactful tools and systems being released to the public, such as the Algorithm Publication Tool (APT) and the Report Generation Tool for the Satellite Needs Working Group (SNWG) at NASA IMPACT, as well as the Catalog of Suborbital Earth Science Investigations and Expeditions (CASEI).

In addition to my professional pursuits, I am currently at the University of California, Berkeley for a Master of Information and Data Science. At Berkeley, I focus on my passions:  tackling complex problems with Applied Statistics, adopting new distributed technologies, and contributing to dynamic, mission-driven projects.