• Designed deep learning solutions to perform handwritten signature detection in PDF’s, using python, TensorFlow Object Detection API, and self-annotated training dataset of 10000 signatures, achieving a F1 score of 94%.

• Supported development of machine learning techniques namely XGBoost, LSTM Model and SpaCy NER for document classification and information extraction.