About

I build data tools for the oil and gas industry.

My work sits at the intersection of petroleum geophysics, satellite remote sensing, and applied machine learning. I turn public data — satellite imagery, state regulatory filings, production reports — into decision-support tools for operators and investors.

Current Projects

• FlareSense: A web platform that evaluates the economics of onsite power generation as an alternative to gas flaring, using daily-refreshed Texas RRC data
• Permian Basin satellite monitoring: Automated flaring detection using Sentinel-2 SWIR imagery and Google Earth Engine
• Physics-informed neural networks (PINN) for reservoir parameter inversion

Technical Stack

Geophysics: Devito, OPM Flow, Madagascar, SeisUnix

Data & ML: Python, pandas, DeepXDE, PyTorch, Google Earth Engine

Infrastructure: Docker, FastAPI, Vercel, AWS, UniFi home lab

Visualization: React, D3, Matplotlib, QGIS

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Based in Houston, TX.