AI/ML forecasting work supported by serverless AWS Lambda execution, with a focus on model quality, performance, and reliability under demand.
The solution needed stronger forecasting quality and more resilient execution under load while staying lightweight and practical to operate.
Improved forecasting accuracy by 15%, supported scalable serverless execution, and improved performance under higher-demand conditions.
Worked with the inputs needed for accurate renewable forecasting.
Refined model logic to improve predictive quality and consistency.
Wrapped the solution in serverless Lambda execution for flexible scaling.
Used load testing to improve performance under higher demand.