Pedro Sanchez
Founding Member at Impossible, Inc
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolPedro Sanchez is a machine learning engineer and founding member based in Mountain View with 11 years of experience building production ML systems across VR/AR, weather forecasting, mobility, and e‑Health. He blends deep research expertise—creator and organizer of high-profile Weather4cast competitions and contributor to spatio‑temporal modeling—with hands-on product engineering like custom depth sensors, multimodal 3D data platforms, and embedded perception. At UNISON he led a cross-disciplinary team of PhDs and industry engineers to deliver novel SLAM, hand‑tracking, and large‑scale auto‑labeling pipelines; earlier work produced award‑winning deep learning models for egocentric imagery and nutrition analysis. Pedro pairs a PhD track in AI and broad academic training in data science, math, and engineering with strong public speaking, team leadership, and social coordination skills. He frames hard, high‑impact problems through "data scientist DNA" and a curiosity-driven mission—building AI to help him understand the universe.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Foundations of Data Science, Master of Science - MS Foundations of Data Science at Universitat de BarcelonaBachelor of Science - BS (Erasmus) Mathematics and Computer Science, Bachelor of Science - BS (Erasmus) Mathematics and Computer Science at University of GroningenUPC Universitat Politècnica de CatalunyaSummer School Deep Learning Indaba 2019, Summer School Deep Learning Indaba 2019 at Kenyatta University
Spanish, English, Catalan
Stackoverflow
191reputation
110kreached
4answers
0questions
Github Skills (51)
harp10
data-science9
rendering9
artificial-intelligence9
pytorch9
python9
machine-learning9
arcmap9
pretrain9
gpu9
ai9
deep-learning9
temperature9
transfer-learning9
cpp8
Programming languages (5)
Github contributions (5)
pherrusa7/Sentinel5P
Aug 2020 - Aug 2020
Some scripts that help you downloading and processing satellite data from L2 to L3 products form Sentinel-5P mission: "perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone & UV radiation, and climate monitoring & forecasting." Note that L2 products are processed measurements provided by ESA (https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) and L3 is the projection of these measurements into a common grid or raster (https://desktop.arcgis.com/en/arcmap/10.3/manage-data/raster-and-images/what-is-raster-data.htm)
Contributions:15 commits, 23 pushes, 1 branch in 12 days
arcmapmonitoringrastersentinel-5psattelite
pherrusa7/pherrusa7.github.io
Nov 2019 - Apr 2026
Contributions:15 pushes, 1 branch in 6 years 6 months
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