Thomas Di Martino
Machine Learning Engineer at NASA Lifelines
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolThomas Di Martino is a Machine Learning Engineer in Paris with eight years of experience applying deep learning to remote sensing and production ML systems. Currently at Criteo, he designed robust autoencoder-based solutions and data pipelines to mitigate noisy 12-bit PSB traffic for bidding models, bridging research rigor with production constraints. He completed a part-time PhD at SONDRA/ONERA focused on SAR time-series change detection and has complemented that work as an ESA visiting researcher and voluntary satellite-imagery expert for humanitarian NGOs. Comfortable across end-to-end ML—from multimodal siamese networks and ConvNets to deployable Flask services—he blends academic depth with hands-on software delivery. A not-obvious strength is his track record of translating complex SAR temporal analysis into practical tools for non-profits and industry alike.
8 years of coding experience
2 years of employment as a software developer
Master’s Degree in Engineering Computer Science, Master’s Degree in Engineering Computer Science at CY TechDoctorat de philosophie Remote Sensing, Doctorat de philosophie Remote Sensing at CentraleSupélecHeriot-Watt University Edinburgh CampusLicence Mathématiques et informatique, Licence Mathématiques et informatique at CY Cergy Paris Université
English, French, Spanish, Russian
Stackoverflow
380reputation
175kreached
3answers
0questions
Github Skills (24)
keras9
object-detection8
google-earth-engine8
similarity7
instance-segmentation7
tensorflow7
mask-rcnn7
contour6
opencv6
plot6
python6
pandas6
matplotlib6
deep-learning4
science4
Programming languages (4)
Github contributions (5)
dimartinot/gee_sar_fetcher
Nov 2020 - Jun 2022
An easy-to-use Python library to download SAR imagery from Google Earth Engine
Contributions:2 reviews, 59 commits, 16 PRs in 1 year 7 months
google-earth-enginepython
dimartinot/dimartinot.github.io
Mar 2022 - Dec 2022
Contributions:10 commits, 10 pushes, 1 branch in 9 months
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