B.Tech Information Technology @ IGDTUW (GPA 8.6). Currently an ML Intern at DRDO–ISSA Lab, working on satellite image intelligence, clustering and classification pipelines for wargaming and strategic analysis systems.
Download ResumeDeveloped a CNN-based medical image classification system achieving 96% accuracy on MRI scans. Implemented preprocessing, data augmentation, and performance evaluation.
Built an AI pipeline combining OCR and language models to analyze food labels and generate nutritional insights for health-focused users.
Developed a responsive weather application using APIs, JavaScript OOP, and modern UI principles with dark/light modes.
Working on satellite imagery analysis for defense applications, focusing on clustering, classification, and pattern recognition for wargaming and strategic simulations.
Conducted NLP research using transformer models (DistilBERT) for semantic analysis tasks, achieving ~90% accuracy.
Explored preprocessing, normalization, and feature extraction techniques for satellite imagery to improve ML model robustness.
Applied clustering algorithms such as K-Means and DBSCAN to group spatial ship formations from satellite data.
Focused on metrics such as precision, recall, F1-score, and confusion matrices for reliable deployment.