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rodrigoalmeida94 committed Aug 23, 2024
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Expand Up @@ -31,7 +31,7 @@ If you have any questions or remarks feel free to reach out - I am always happy
- Using Zarr and Dask, created a pipeline to downscale weather forecasts to 1x1 km at the global level, 4x a day, using a deep learning model.
- Developed live ingestion pipelines for multiple weather data sources (reanalysis data and observation data), using AWS Step Functions.

##### [🏢 Development Seed](https://developmentseed.org) | August 2021 – October 2023
##### [🏢 Development Seed](https://developmentseed.org) | August 2021 – October 2022
###### 📌 Cloud Software Engineer
- Developed a multi cloud (AWS and GCP) and cost efficient cloud infrastructure for running deep learning based oil slick detection with Sentinel-1 images, in the entire archive, and automatically for newly available scenes. [Cerulean App](https://cerulean.skytruth.org)
- Developing an ingestion pipeline and search API that is able to handle millions of images and return similarity, at scale. [Similarity Search App](https://www.earthdata.nasa.gov/dashboard/labs/similarity-search/explore/)
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