At IBM, I designed and implemented an end-to-end deep learning pipeline for image classification using TensorFlow and Keras, from data preprocessing through training and evaluation.
As part of the IBM–NASSCOM PBEL program, I also developed data-cleaning and feature-engineering workflows to improve model reliability and support deployment-ready classification models.
At ARDEMA, I contributed to organizing a college-level hackathon and coordinating career development and technical awareness sessions.
