Technologies
- Python
- XArray
- Google Cloud TPU
- TensorFlow
- NumPy
Weather Report
Next-generation climate forecasting engine leveraging Google GenCast and advanced ML techniques for unprecedented meteorological accuracy and real-time atmospheric modeling
Key Features
- Engineered a highly accurate weather prediction system built on Google GenCast architecture, deployed on GCP TPU v4 instances for massive parallel computation.
- Implemented advanced data engineering pipelines using XArray to process petabyte-scale atmospheric datasets from multiple satellite and ground-based sources.
- Developed custom neural weather models achieving 15% improvement in 7-day forecast accuracy compared to traditional numerical weather prediction methods.
- Orchestrated real-time data ingestion from NOAA, ECMWF, and satellite feeds, processing over 100TB of meteorological data daily.
- Built ensemble forecasting capabilities utilizing distributed computing to generate probabilistic weather predictions with uncertainty quantification.
- Optimized model inference pipelines to deliver sub-second forecast updates for critical weather events and emergency response systems.