Virginia Ng
Imagery Data Science Lead
San Bruno, California, United States
Summary
👤
Senior🎓
Top SchoolVirginia Ng is an Imagery Data Science Lead with 11 years of experience building scalable deep learning pipelines for satellite, aerial, and multispectral imagery at Mapbox. She leads research and engineering efforts in computer vision—image-to-image translation, semantic segmentation, object detection—and applies distributed/cloud tools like Spark and AWS to move models into production. With an MS in Applied Mathematics and a background in spectral/time-series analysis, she blends rigorous numerical modeling with practical ML systems to automate large-scale image analysis. She is also a hands-on mentor who cultivates team-wide ML literacy to help Mapbox scale smarter, and her early work includes high-accuracy email classifiers and a fashion recommender built during a competitive data-science fellowship.
11 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.), Applied Mathematics, Master of Science (M.S.), Applied Mathematics at University of WashingtonTaipei American SchoolBachelor of Arts (B.A.), Financial Economics, Bachelor of Arts (B.A.), Financial Economics at Western Washington University
English, Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
scipy10
landsat10
rasterio10
imagery10
satellite10
monster8
image6
gdal5
spark4
cython4
pixel4
gis4
raster4
python4
specification4
Programming languages (4)
Github contributions (5)
virginiayung/Tinderella
Feb 2015 - Jun 2017
Contributions:97 pushes, 1 branch in 2 years 4 months
mapbox/rio-toa
Jun 2016 - Sep 2016
Top Of Atmosphere (TOA) calculations for Landsat 8
Contributions:4 releases, 111 commits, 19 PRs in 2 months
landsatsatelliteimageryrasterio
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