Rob Emanuele - Principal Software Engineer at Microsoft

Rob Emanuele

Principal Software Engineer at Microsoft

Philadelphia, Pennsylvania, United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Rob Emanuele is a Principal Software Engineer with 13 years of experience architecting and delivering large-scale, cloud-native systems for spatiotemporal and geospatial data. He has led teams at Microsoft building the Planetary Computer and Azure services, designing petabyte-scale pipelines, standards-based APIs, and multitenant deployments with Terraform/Helm and blue/green rollout practices. Comfortable both as an individual contributor and manager, Rob moves between backend systems, data pipelines, and front-end UX improvements—his open-source work spans GeoTrellis, STAC tooling, Raster Vision, and Planetary Computer examples. He focuses on making high-throughput raster processing reliable and developer-friendly, and recently has applied that expertise to integrating GenAI tooling for database developer experiences. Colleagues rely on him to translate research-grade imagery ML into production-grade services that handle millions of monthly hits. Based in Philadelphia with a BA in Mathematics from Rutgers, he blends rigorous analytical thinking with practical, production-focused engineering.

13 years of coding experience

13 years of employment as a software developer

BA, Mathematics, BA, Mathematics at Rutgers University

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (26)

javascript10

rasterize10

python10

raster10

ui-components10

semantic-segmentation10

geographical-information-system10

geospatial10

spatial-analysis10

scala10

spatial-data-analysis10

gis10

rasterio10

geospatial-analysis10

Programming languages (20)

C#JavaCSSC++RustScalaMakefilePLpgSQL

Github contributions (5)

locationtech/geotrellis

Nov 2012 - Jun 2020

GeoTrellis is a geographic data processing engine for high performance applications.

Role in this project:

Back-end Developer

Contributions:2235 commits, 1056 PRs, 677 pushes in 7 years 8 months

Contributions summary:Rob primarily contributed to the `geotrellis` repository by fixing bugs and making improvements to the raster interpolation functionality. They addressed issues related to variable naming, radius checks, and ensuring proper logic within interpolation algorithms. They also made contributions to the deployment script and removed deprecated dependencies. In addition, they fixed a bug in the vectorization code.

geotrellis

azavea/raster-vision

Apr 2017 - Aug 2019

An open source library and framework for deep learning on satellite and aerial imagery.

Role in this project:

Back-end Developer

Contributions:2 releases, 442 commits, 142 PRs in 2 years 4 months

Contributions summary:Rob's commits focus on modifications to the data handling components of the semantic segmentation framework. Primarily, the user implemented a method to generate debug images, including class labels, for semantic segmentation models. The changes also included refactoring existing code for more streamlined data loading and processing. The modifications demonstrate the user's proficiency in working with image data and integrating the model's logic with the raster vision package.

deep-learningcomputer-visionremote-sensinggeospatialobject-detection

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial