Susha Suresh has established herself as a skilled artificial intelligence engineer with extensive experience in academia, biomedical, and finance industries. Suresh has worked on several research and development projects involving machine learning, deep learning, natural language processing, statistical modeling, and predictive analysis. She recently completed a master's degree in Computer Science with a specialization in Artificial Intelligence, studying applied ML, deep learning, and natural language processing.

During her academic career, Suresh's thesis entitled "Attributed Graph Classification Using Deep Graph Convolutional Neural Networks" achieved the state-of-the-art in predicting the aggressiveness of prostate cancer through a patient's gene interaction network. In her leisure time, Suresh enjoys reading books, bouldering, and practicing Jivamukti yoga.

Suresh has worked with well-known organizations such as Aon, OneClass, GenAIz, and the University of Windsor. She has held several positions, including NLP Research Scientist, Tutor, Graduate Research Assistant, Artificial Intelligence Engineer - NLP, Graduate Teaching Assistant, Sr. Analyst, Associate Analyst, Business Analyst, and Intern Java Developer. Her current research focuses on abstractive and extractive question answering using the SQuAd and the eli5 dataset.