Machine learning engineer and hydrometeorologist with expertise in developing production ML systems for environmental applications. I have built operational forecasting models for weather, floods, and water resources, and contributed to NASA's Global Precipitation Climatology Project V3.2. I am honored to have received the NASA Robert H. Goddard Award for outstanding contributions to climate science. I specialize in satellite data processing, deep learning for geospatial applications, and deploying ML models at scale.
I am deeply interested in personal finance and investing. I write and build tools on 401(k) strategy, retirement planning, and long-term wealth building—using data and backtests to illustrate what’s possible and to help others make informed decisions.
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