Research
My research interests lie in practical applications of ML, DL, NLP, & CV in domains like Finance, Healthcare, and Cybersecurity — with a current focus on Neurosymbolic AI and LLM steering.
Publications
2026
·SN Computer Science · Vol. 7, No. 360 (2026)
DEXNet: An Ensemble Model Integrating DenseNet, EfficientNetB3, and XGBoost for Histopathological Lung and Colon Cancer Classification
Ensemble architecture combining DenseNet and EfficientNetB3 for hierarchical feature extraction with XGBoost classification, augmented by Class-Selective Image Preprocessing (CSIP), Grad-CAM interpretability, and a HIPAA/GDPR-compliant AWS deployment pipeline with federated learning provisions for multi-institutional privacy-preserving inference.
2024
·ICDEC 2024 · Springer Nature
Barbell Exercise Classification and Repetition Counting
Engineered a robust ML system for barbell exercise classification and repetition counting using MetaMotion sensor data, achieving over 90% accuracy through comprehensive feature engineering and outlier detection pipelines for precise human activity recognition.