Featured Projects

• Chest X-ray Imaging Engineered a Deep Learning pipeline using PyTorch and ConvNeXt for Multi-class Classification of 20 thoracic diseases, implementing Transfer Learning, Temperature Scaling, Ensemble Inference, and TTA to achieve a 98/100 evaluation score. [Technical Report]
• Mushroom Classification Developed an end-to-end Binary Classification pipeline using Scikit-learn and Python to predict mushroom toxicity, implementing Feature Engineering, Hyperparameter Tuning, and an Ensemble of Random Forest and Gradient Boosting to rank 95/1,227 (Top 8%) on Kaggle with 99.2% accuracy.
• KUIZU Built a RESTful Flask web app with role-based access control (RBAC), enabling automated quiz administration and real-time student progress tracking.
• CareGrid Developed a Full-Stack Hospital Management System using Python/Flask, SQLAlchemy, and SQLite, implementing Role-Based Access Control (RBAC), RESTful APIs, and Session-based Authentication following MVC architecture.

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