Hi there š
- š Iām currently working on big data engineering, training A.I. models, building and deploying applications for energy industry in Vision, NLP, and time-series data.
- š¬ Ask me about any Machine Learning, GenAI, Python, Geoscience, and the Energy Industry.
- š§š»āš» I am the lead developer and maintainer following OSS projects:
TGSAI/mdio-pythonandTGSAI/segy. - š«±š»āš«²š½ Contributed to other OSS projects; i.e.
zarr-developers/zarr-python,langchain-ai/langchain,fsspec/gcsfs. - š«±š»āš«²š½ Contributed to the energy community via Special Interest Group about ML and A.I. with workshops, events; i.e. GITC 2021, GITC 2022.
Select Publications:
- š
2024Encoding the Subsurface in 3D with Seismic (Pre-Print, accepted to IMAGE 24 conference) - š
2023Toward generalized models for machine-learning-assisted salt interpretation in the Gulf of Mexico - š
2023MDIO: Open-source format for multidimensional energy data - š
2021Earth Model Building in Real-Time with an Automated Machine Learning Framework ā A Midland Basin Example - š
2021Novel machine learning workflow for rock property prediction in the geologically complex presalt Santos basin, Brazil - š
2020Seeing-Ahead-of-the-Bit: A Game Changer Enabled by Machine Learning - š
2015Deghosting Ultra High Resolution 3D Geo Hazard Data
Patents:
- š Earth modeling methods using machine learning, US20210326721A1
- š Confidence volumes for earth modeling using machine learning, US11699099B2
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