Engineering and Technology | Open Access | DOI: https://doi.org/10.37547/tajet/v7i11-302

AI-Powered Cloud Platforms for Micro-Investment and Wealth Building

Sai Nitesh Palamakula , Software Engineer Microsoft Corporation Charlotte, NC, USA
Anusha Meka , Director of Engineering Microsoft Corporation Charlotte, NC, USA

Abstract

The democratization of investing remains a critical global challenge, particularly for populations excluded from traditional wealth-building tools due to insufficient capital, limited literacy, or systemic barriers. Recent advances in cloud computing and artificial intelligence (AI) offer an unprecedented opportunity to bridge this gap at scale. This paper investigates the end-to-end design, implementation, and evaluation of AI-powered cloud platforms for micro-investment and wealth building. We explore design patterns and architectural paradigms that leverage modular, scalable cloud infrastructure to support a new generation of micro-investment tools. Emphasis is placed on AI-driven recommendation systems, explainability, and the integration of regulatory and security requirements. The system architecture is described in detail, including data ingestion, AI model pipelines, portfolio management, compliance layers, and user interfaces. Implementation frameworks, performance and fairness evaluation criteria, and deployment challenges are presented. The paper concludes with an honest assessment of current technical, ethical, and regulatory limitations, as well as recommendations for the responsible advancement of AI-powered micro-investment platforms.

Keywords

Cloud fintech, micro-investment, AI-driven recommendation systems, wealth building, financial inclusion, portfolio optimization, regulatory compliance, explainable AI, cloud-native architecture, security and privacy, financial services

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Sai Nitesh Palamakula, & Anusha Meka. (2025). AI-Powered Cloud Platforms for Micro-Investment and Wealth Building. The American Journal of Engineering and Technology, 7(11), 143–150. https://doi.org/10.37547/tajet/v7i11-302