Dr. Hari Gonaygunta is a Senior AI/ML Engineer with over 13+ years of industry experience across healthcare, banking, finance, telecommunications, insurance, and autonomous vehicles. The work focuses on designing and deploying production-grade AI/ML systems, including Large Language Model (LLM)-powered applications, Agentic AI, Retrieval-Augmented Generation (RAG) architectures, and secure MLOps pipelines on AWS and Azure. Academic qualifications include a Ph.D. in Information Technology from the University of the Cumberlands, Kentucky, USA (2023), an M.S. in Computer Science from San Francisco Bay University, California, USA (2016), an M.Tech in Power Systems from the National Institute of Technology (NIT), Jamshedpur, India (2010), and a B.Tech in Electrical and Electronics Engineering from JNTU Hyderabad, India (2007). Professional certifications include NVIDIA-Certified Professional: Accelerated Data Science, AWS Certified Machine Learning Engineer – Associate, Microsoft Azure Data Scientist Associate, CompTIA SecurityX, Splunk Enterprise Certified Admin, and Cribl Certified Admin. Peer reviewer for several prestigious journals, including IEEE, Heliyon, MDPI, Wiley, PeerJ, and the International Journal of Human-Computer Interaction. Research interests encompass Data Science, Quantum Computing, Artificial Intelligence, Machine Learning, Internet of Things (IoT), Blockchain Technologies, and Cyber Security.