Distributed Software Engineer, Data Scientist, Machine Learning Engineer, and Data Engineer developing solutions, accelerators and projects for GenAI, DSML, Distributed DL in various domains. Areas of specialisation include Geospatial DSML and analytics, graph theory, clustering, predictive modelling, CNNs, RNNs, GNNs, GANs with a focus on applying the Spark platform using Scala and Python, as well as Rust. My experience includes data modelling, feature engineering, exploratory data analysis, root cause investigation across large and complex data sets in FinServ, HLS, Media & Entertainment and Telecom.
- Kota Kahuana y La Cumbrecita: los pies en el suelo, y andar por las nubes
- https://a0x8o.github.io
- @axbo10
- in/axbo
Highlights
- Pro
Pinned Loading
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elemental
elemental PublicForked from elemental/Elemental
Distributed-memory, arbitrary-precision, dense and sparse-direct linear algebra, conic optimization, and lattice reduction
C++ 1
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netcdf-c
netcdf-c PublicForked from Unidata/netcdf-c
Official GitHub repository for netCDF-C libraries and utilities.
C 1
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mosaic
mosaic PublicForked from databrickslabs/mosaic
An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.
Jupyter Notebook 1
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geomesa
geomesa PublicForked from locationtech/geomesa
GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
Scala 2
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