AIML Student at Thapar Institute of Engineering & Technology | Machine Learning | Deep Learning | AI and Data Analytics
2025 – PRESENT · Patiala
Assisting in problem formulation, Python-based implementation, experimentation, and documentation. Working on applied machine learning and computer vision–oriented research workflows.
B.E, Artificial Intelligence and Machine Learning
2024 – PRESENT
CBSE - Class X
2011 – 2022
CBSE - Class XII, Science
2022 – 2024
Built an end-to-end breast cancer classification system predicting Benign/Malignant from raw CSV and DICOM medical imaging data. Implemented radiomic feature extraction, segmentation, dimensionality reduction, clustering, retrieval-based explainability, ensemble model training with 5-fold stratified cross-validation, and a 6-page Streamlit application supporting uploads, predictions, patient lookup, and radar chart visualizations.
Built a real-time computer vision system for identifying known and unknown individuals using face detection, feature embedding, and dataset matching.
Designed a digital payment system simulation modeling UPI-style transactions with balance validation, transaction states, unique user IDs, and error handling.
Implemented operator overloading for academic comparison and merging, plus polymorphism with abstract Medal classes and a ConvocationManager for certificate generation.
Simulated room booking and billing using args/kwargs-based method overloading, customer-type-specific logic, discounts, taxes, reports, and exception handling.
Modeled Aircraft, Crew, and Mission systems using hierarchical and hybrid inheritance, with mission assignment, status updates, and structured dictionary-based data storage.