AI-Driven Banking Systems: Machine Learning, Fraud Analytics and Blockchain Applications | Intelligent Financial Technology | AGPH Books

Kartikkumar Ashokbhai Pandya is a Computer Science researcher and student currently pursuing his studies at Mesa Community College, Arizona, and preparing to transfer to Arizona State University. His academic interests focus on Artificial Intelligence, Machine Learning, and Computational Intelligence, with a strong emphasis on real-world deployment challenges and scalable intelligent systems. He has actively contributed to the global research community through multiple conference publications, including four research papers presented at IEEE ICMLAS 2026. His work explores areas such as explainable AI, multimodal learning systems, causal modeling, and the limitations of AI systems when transitioning from controlled environments to real-world applications. Kartikkumar has also delivered talks and participated in international academic forums, including DoSCI 2026 and WCSC 2026, where he presented insights on trustworthy AI, human-centered computing, and real-world AI integration challenges. In addition to his academic work, he is the Co-Founder of AxionBioMart, a biomedical marketplace startup focused on transforming global access to life science equipment through technology-driven solutions. His work bridges research and industry by integrating AI, data systems, and scalable architectures to address real-world challenges in the biomedical domain. He is an active member of professional organizations such as IEEE, ACM, and Sigma Xi, and continues to contribute as a researcher and reviewer in emerging AI domains.

Gopinathan is a seasoned Data and AI professional with over 20 years of experience spanning Artificial Intelligence, Machine Learning, Data Modeling, and Modern Data Architecture. His expertise extends across Data Governance, Master Data Management, Data Quality, and Data Security, enabling organizations to build robust, scalable, and trusted data ecosystems. Throughout his career, he has collaborated with leading global IT service organizations, including Cognizant, CGI, and AXA, delivering impactful data-driven solutions across diverse industries. He has played a key role in helping enterprises design and implement data architectures, ensuring not only technical excellence but also strong organizational adoption and long-term value realization. Gopinathan holds a Bachelor’s degree in Information Technology and is a TOGAF-certified professional, reflecting his strong foundation in enterprise architecture principles and active participation in workshops and symposiums on AI, Machine learning reflecting his commitment to lifelong learning and innovation.

Naveen Bandi is a seasoned engineering leader with 15+ years of experience in architecting enterprise-scale systems using Java/J2EE, currently serving as Team Lead at First Citizens Bank. He specializes in financial services platforms, including payments, credit cards, and rewards ecosystems. He has led the design and implementation of high-throughput, low-latency Real-Time Payments (RTP) systems with strong consistency and fault tolerance. Naveen has driven modernization of legacy payment infrastructures to ISO 20022-compliant, event-driven architectures. His expertise includes building real-time fraud detection and risk mitigation systems using streaming and rules-based frameworks. He has deep experience in sanctions screening across Fed and international payment rails, ensuring compliance with global regulatory standards. His domain spans cross-border payments, FX, and trade finance processing with scalable microservices-based solutions. He leverages AI/ML and Big Data technologies to enhance decision intelligence and operational efficiency. He is proficient in designing resilient, distributed systems with a focus on observability, security, and performance. Naveen consistently delivers compliance-driven, scalable solutions aligned with modern fintech architecture principles.

Uttam Kotadiya is a highly accomplished Software Engineer with a Master of Science in Computer Science from the Illinois Institute of Technology, completed in 2023. His academic rigor is underscored by advanced coursework in Data Processing at Scale, Mobile Computing, Artificial Intelligence, Data Mining, and Data Visualization, establishing a strong foundation in cutting-edge technologies. Since 2021, Uttam has made significant contributions in the finance sector, specializing in banking, credit cards, and investment domains. He possesses extensive experience with critical financial systems, including loan origination and payment processing. This blend of practical industry expertise and deep theoretical knowledge positions Uttam as a senior-level engineer adept at transforming complex financial challenges into innovative software solutions, while also demonstrating a strong aptitude for research-oriented problem-solving in data-intensive environments.