Building Next-Gen Esg Platforms with Iot and AI for Sustainable Development Goals

This book delivers a practical blueprint for applying AI, IoT, and advanced analytics to drive measurable ESG outcomes. It covers machine learning, deep learning, generative AI, and fast language models for edge use, with benchmarks like MMLU, GPQA, and MGSM. Step-by-step guides teach ESG IoT model building, neural network fine-tuning, and RAG implementations. Application chapters span IoT-enabled GHG monitoring, methane/rumination tracking with Class 10 sensors, and AI for remote farming. Real-world case studies and deployment pipelines provide innovators, policymakers, and leaders with a cross-disciplinary framework aligned to UN Sustainable Development Goals.

Chandrasekar Vuppalapati is a seasoned Software IT Executive, Entrepreneur, Industrialist, and Educator with expertise in Software Technologies, Enterprise Software Architectures, Cloud Computing, Machine Learning, Data Analytics, the Internet of Things (IoT), and Software Product & Program Management. Beginning his career in 1994, he has built a distinguished record in technology leadership, consulting, and innovation. He holds a master’s degree in software engineering from San Jose State University and an MBA from Santa Clara University, California.

Chandra has held Distinguished Principal engineering, architecture, and product leadership roles at Microsoft, GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies (a Bell Laboratories Company). His consulting and advisory work spans global leaders including Deloitte, PwC, Johnson & Johnson, T-Mobile, State Street Bank, Humana, Shell Oil & Gas, and British Petroleum (BP). Since 2013, he has been teaching graduate courses in Software Engineering, Cloud Technologies, Data Science, and Advanced Data Mining at San Jose State University. He has also provided strategic advisory services to organizations such as Cisco Systems and Lam Research and served as Principal Investigator for the Valley School of Nursing, where he pioneered the use of Virtual Reality to connect nursing educators and students.

As an Entrepreneur and Founder of multinational Hanumayamma Innovations and Technologies, Inc., Chandra leads the world’s foremost provider of Agriculture Analytics, Dairy Analytics, Specialty Crops Analytics, and Wearable Veterinary Sensors (CLASS 10), powered by a Data Analytics (DnA) platform for farmers worldwide. An industrialist and manufacturer of advanced IoT sensor systems for animal husbandry and ESG applications, he has grown the company’s global presence. Under his leadership, Hanumayamma earned the prestigious Fast Company Innovation by Design Award and secured USPTO trademarks for its pioneering products.

A decorated innovator, Chandra won the US National IEEE Voice Data Challenge 2018 for developing advanced solutions using Machine Learning and Artificial Intelligence. An accomplished author and researcher, he has published over 29 IEEE conference papers and authored books including Building Enterprise IoT Applications, Democratization of Artificial Intelligence for the Future of Humanity, Machine Learning and Artificial Intelligence for Agricultural Economics, Artificial Intelligence and Heuristics for Enhanced Food Security, Assessing Policy Effectiveness using AI and Language Models, Artificial Intelligence and Advanced Analytics for Food Security, Specialty Crops for Climate Change Adaptation, Data Science Inscription of the Jyotirlingas (Volumes 1 & 2), and Divine Feminine Energies in Vedic Anthologies.

He has served as editor for major conference proceedings, including ICCCES 2020, ICICI 2021, and ICICV 2022, and chaired global conferences such as IEEE in Oxford, IEEE Big Data Services 2017, Future of Information and Communication Conference 2018, and IHSI 2020 in Italy.