Projects & Research

Developed a novel transformer-based architecture for multi-variate time series prediction with 15% improvement over state-of-the-art baselines. Applied to financial markets and energy consumption forecasting.

Built an end-to-end computer vision system for automated quality control in manufacturing. Reduced inspection time by 80% while maintaining 99.5% accuracy in defect detection.

Designed and deployed a multi-label document classification system processing 1M+ documents daily. Implemented active learning to continuously improve model performance.

Developed a privacy-preserving federated learning framework for healthcare applications. Enables collaborative model training without sharing sensitive patient data.

Built a streaming anomaly detection system for IoT sensor data. Processes 100K+ events per second with sub-millisecond latency using ensemble methods.

Research collaboration on combining medical imaging with clinical text data for improved diagnostic accuracy. Achieved 12% improvement in early disease detection.