About

Swaroop N P is a highly skilled Machine Learning Engineer with a PhD in Theoretical Computer Science from the Institute of Mathematical Sciences in Chennai. With a strong background in mathematics, algorithms, and data structures, Swaroop has a deep understanding of the theoretical underpinnings of machine learning and is experienced in both theory and practice. Swaroop's machine learning experience includes supervised learning, PCA and dimensionality reduction, clustering, naive Bayes, decision trees, random forests, ensemble methods, T-SNE, and Expectation Maximization. He is also an expert in deep neural nets and convolutional neural nets, with experience in training, hyperparameter optimization, standard architectures, and benchmark datasets. Currently, Swaroop is working as a Machine Learning Engineer at PayPal, where he is focused on OCR text extraction. His goal is to automate the extraction of text content from documents such as driving licenses and PAN cards, which are often uploaded for purposes such as KYC. Prior to joining PayPal, Swaroop worked as a Senior Lead Engineer at Samsung, where he focused on model compression via quantization and representative data for faster neural architecture search. He also worked as a Postdoctoral Researcher at the Indian Institute of Technology. Swaroop's technical skills include ML, deep learning, data science, supervised learning, SVM, hyperparameter tuning, Scikit, Python, Pytorch, and search. He has over 5.78 years of relevant experience in software development and programming, as well as research and development in the field of machine learning. Swaroop is passionate about both theory and practice in the field of machine learning and is always looking for new challenges and opportunities to expand his knowledge and skills.