- Refactored existing ML training pipelines using profiling tools and debugging techniques, reducing model error by 90
- Conduct flow-field analysis to understand the latent dynamics of RNNs and neural ordinary differential equations
- Decreased model training time by 30% while running 100+ simulations to optimize RNN performance on cognitive tasks