Generative AI for Full-Stack Development: AI Empowered Accelerated Coding (Paperback) (ISBN-13: 9798868820731)

Shantanu Baruah is the President and Global Head of Healthcare, Life Sciences and Insurance vertical at Hexaware. He is responsible for driving global strategy, client success, and growth across the HLS vertical. His focus areas include expanding digital health capabilities, accelerating AI-led transformation, and strengthening domain-driven delivery. He brings over 25 years of experience in the healthcare and life sciences industry, with a strong track record in building high-performing global teams and leading complex client transformations. Prior to joining his current company, he served as Executive Vice President at HCLTech, where he led the Life Sciences & Healthcare business in North America. In addition to his executive roles, Shantanu is a published author of several papers and books on healthcare technology, knowledge management, digital experience, and the impact of big data on payers and providers. Shantanu is active in the app development community and has an approved app on Apple App Store. He has been recognized as one of the top 25 Healthcare IT Executives of 2020 by The IT Services Report. Shantanu lives in New Jersey. His philanthropic outreach includes education for children in developing nations.

Nitara Baruah is a high school sophomore at Rutgers Preparatory School. At school, she participates in Model UN and JV tennis. She was recognized by the school for achieving 50+ hours of volunteering in a single year and received an Honors Community Service Award. Highlights from her service include volunteering at Aceing Autism, where she helped children with special needs learn tennis, and Tend to a Friend. Outside of school, she completed an Inspirit AI Scholars Course, a selective two-week research program that focused on the ethical issues when using an AI tool named COMPAS in the courtroom to predict a criminal's likelihood of recidivism. She implemented segments of linear and logistic regression, neural networks, convolutional neural networks, and NLPs when researching this topic and demonstrated teamwork skills, understanding complex topics, and research. She also attended TARGET, a selective STEM program at Rutgers University, where she collaborated to design, model (using TinkerCAD), and build a functional canoe based on principles of buoyancy. Other projects she engineered include a reaction-time game using Python & Arduino, a battery-bearing bridge, and a miniature walking robot.