Hi there 👋

• 🔭 I’m currently working on training AI models, big data engineering, building and deploying applications for the energy industry in Vision, NLP, and time-series data.
• 💬 Ask me about any Machine Learning, GenAI, Python, Geoscience, and the Energy Industry.
• 🧑🏻‍💻 I am the lead developer and maintainer following OSS projects: TGSAI/mdio-python and TGSAI/segy.
• 🫱🏻‍🫲🏽 Contributed to other OSS projects; i.e. zarr-developers/zarr-python, langchain-ai/langchain, fsspec/gcsfs.
• 🫱🏻‍🫲🏽 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:

• 📄 2025 How ViTs scale on seismic data: a study on model and data trade-offs (Presented at IMAGE 25 conference, DOI TBD)
• 📄 2024 Encoding the Subsurface in 3D with Seismic, click here for preprint
• 📄 2023 Toward generalized models for machine-learning-assisted salt interpretation in the Gulf of Mexico
• 📄 2023 MDIO: Open-source format for multidimensional energy data
• 📄 2021 Earth Model Building in Real-Time with an Automated Machine Learning Framework – A Midland Basin Example
• 📄 2021 Novel machine learning workflow for rock property prediction in the geologically complex presalt Santos basin, Brazil
• 📄 2020 Seeing-Ahead-of-the-Bit: A Game Changer Enabled by Machine Learning
• 📄 2015 Deghosting Ultra High Resolution 3D Geo Hazard Data

Patents:

• 📜 Earth modeling methods using machine learning, US20210326721A1
• 📜 Confidence volumes for earth modeling using machine learning, US11699099B2