Winner. Scientist of the Year 2025

Prem Kumar Sholapurapu

Academic title, degree: Master of Computer Applications (MCA)
Fields of science: Artificial Intelligence and Machine Learning
Research interest: Artificial intelligence, machine learning, natural language processing, graph neural networks, predictive analytics, decision-intelligence systems, financial technology innovation, multimodal data fusion, real-estate analytics, risk modeling, intelligent automation, and large-scale AI systems for national financial operations
Career Development: Senior
Organization: CGI
Position: Senior Consultant
City: Katy, Texas
Country: USA

Prem Kumar Sholapurapu is an accomplished scientist and Senior Consultant at CGI, recognized for more than two decades of sustained leadership in artificial intelligence, machine learning, and enterprise-scale financial systems. His work spans advanced AI research, large-scale engineering, and the practical deployment of decision-intelligence platforms within highly regulated environments, particularly in U.S. mortgage banking and global financial services.

He holds a Master of Computer Applications (MCA) from Andhra University, a foundation that has supported a career defined by deep technical rigor and continuous innovation. Over the years, Prem has developed expertise across artificial intelligence, machine learning, natural language processing, graph neural networks, predictive analytics, decision-intelligence systems, multimodal data fusion, risk modeling, and intelligent automation. His scientific interests also extend to post-quantum cryptography, cloud optimization, and secure large-scale AI systems for national and enterprise financial operations.

In his current role as an AI/ML Senior Consultant at CGI, Prem leads enterprise-grade Generative AI modernization initiatives on AWS, focusing on scalable, compliant, and explainable AI solutions. His responsibilities include architecting Retrieval-Augmented Generation (RAG) pipelines, designing vector-search and agentic automation frameworks, and establishing robust LLM governance aligned with emerging regulatory frameworks such as the EU AI Act. His work directly supports mission-critical financial decision-making, compliance, and operational efficiency.

Prior to CGI, Prem held senior engineering and architectural roles at globally recognized organizations, including JPMorgan Chase, Accenture, Cognizant, Cisco, Capgemini, Vodafone, and AT&T. Across these positions, he led cross-functional teams, modernized legacy systems, built secure microservices for audit and financial workflows, and delivered cloud-native architectures capable of supporting high-availability, regulated environments. This breadth of experience uniquely positions him at the intersection of scientific research, enterprise engineering, and real-world financial impact.

Alongside his industry leadership, Prem is a highly active researcher and contributor to the global scientific community. He has authored Scopus-indexed research papers, Elsevier-approved book chapters, and books on advanced topics, such as quantum-resistant cryptography, neural networks, and AI-driven financial systems. He also serves in editorial and advisory capacities with IEEE and the International Journal of Recent Trends in Science and Technology (IJRTS), reinforcing his role as a trusted authority in applied AI and engineering research.

Prem Kumar Sholapurapu's achievements over the past year demonstrate exceptional scientific merit, technological originality, and measurable real-world impact, clearly justifying his recognition as a leading figure in applied artificial intelligence.

His most significant recent contribution is the architecture and delivery of "REOgram™: AI-Powered Mortgage Asset Intelligence and Revenue Optimization", an advanced AI platform designed to transform mortgage asset management and REO (Real Estate Owned) offer decisioning. REOgram™ integrates large language models (LLMs), natural language processing, graph neural networks, predictive analytics, and post-quantum cryptography into a unified decision-intelligence system. Under Prem’s leadership, the platform achieved 90% faster REO offer decisioning, 99% fraud-detection accuracy, and generated over USD 175,000 in monthly revenue uplift, setting a new benchmark for responsible, explainable AI in U.S. mortgage banking.

Beyond REOgram™, Prem led enterprise-wide Generative AI modernization initiatives on AWS, deploying secure and scalable RAG pipelines, diagnostic vector-search architectures, and agentic automation frameworks. These innovations improved loan-conversion outcomes by 18%, significantly reduced manual review workloads, and enhanced the reliability and auditability of financial decisioning systems. His work stands out for its strong alignment with regulatory and ethical AI principles, including explainability, transparency, and compliance with frameworks such as the EU AI Act and U.S. financial oversight requirements.

From a scientific standpoint, Prem has demonstrated sustained international recognition through an extensive body of research and intellectual property. He holds 10+ patents, has authored 12+ Elsevier-approved book chapters, and published 10+ peer-reviewed papers in Scopus-indexed venues, with 200+ citations across domains including AI-driven financial forecasting, cybersecurity, post-quantum cryptography, cloud optimization, and intelligent automation. His editorial roles with IEEE and IJRTS, as well as service on international advisory committees, further underscore his influence on the direction of applied AI research.