Pulse-Mind
Developed a real-time ML pipeline for cardiac rhythm analysis with deterministic control integration.
Developed a real-time ML pipeline for cardiac rhythm analysis with deterministic control integration.
Designed a deterministic offline geospatial encoding framework with AI-assisted hotspot detection and real-time distributed synchronization for disaster response.
Built the DeepLense GSoC 2026 Evaluation pipeline with ResNet classification, EDSR super-resolution, physics-guided PINN learning, and MAE foundation modeling for strong gravitational lensing.
Implemented SVM-based deforestation trend modeling using PCA and hyperparameter optimization.
Engineered-feature regression and clustering on global pollution data delivered high predictive accuracy with R2 = 0.89.