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 (40)
scipy10
python10
insar10
planet10
noaa10
imagery10
satellite10
meteorology9
atmosphere9
geoscience9
dm9
landsat9
gravity9
geodesy9
rasterio9
Programming languages (3)
Github contributions (5)
mapbox/rio-pansharpen
Jul 2015 - Sep 2016
pansharpening landsat scenes
Contributions:3 releases, 69 commits, 7 PRs in 1 year 1 month
gardenpansharpeningscenesdmlandsat
virginiayung/Tinderella
Feb 2015 - Jun 2017
Contributions:97 pushes, 1 branch in 2 years 4 months
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.