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Home Benzinga

Venkata Phanindra Peta Develops AI/ML Solutions to Enhance Financial Literacy

New York Tech Editorial Team by New York Tech Editorial Team
November 24, 2024
in Benzinga
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Venkata Phanindra Peta Develops AI/ML Solutions to Enhance Financial Literacy
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Byline: Rena Marie
Photo courtesy of Venkata Phanindra Peta

Venkata Phanindra Peta, a senior application engineer, is leading key changes in the financial services industry through technology. Peta uses artificial intelligence (AI) and machine learning (ML) to improve the delivery of financial advice, making investment strategies more accessible to a wider audience.

Peta’s path in financial technology reflects a strong blend of academic achievement and practical industry experience. With a Master’s degree in computer engineering from Missouri S&T and over a decade of experience in software engineering, Peta has developed a combination of technical skills and strategic insight that is valuable in the industry.

Personalized Investment Advice Powered by AI and ML

Central to Peta’s work is creating a new digital advice platform. This cloud-based solution uses advanced AI and ML algorithms to offer personalized investment recommendations based on individual needs and goals.

“Our digital advice platform offers more than just basic advice,” Peta says. “It analyzes user data, such as risk tolerance, financial goals, and investment timelines, to create detailed, personalized investment strategies more specific than traditional approaches.”

The platform’s AI engine continuously updates its recommendations based on user interactions and market changes, ensuring the advice stays current and relevant. This adaptive feature provides users with guidance that matches their financial progress.

Advanced Use of Generative AI

Another of Peta’s key contributions is integrating generative AI (GenAI) to create interactive financial tools. These tools let users explore various financial scenarios and investment strategies in real-time, helping them easily manage information and handle complicated financial situations.

“We’ve developed a platform that provides advice and educates users,” Peta says. “Users can manipulate variables, see instant results, and understand how different factors impact their financial future. This approach simplifies complex financial concepts and builds user confidence in decision-making.”

Peta also led the migration of financial data to a secure and scalable cloud environment, adopting serverless architecture to support advanced AI capabilities and ensure platform scalability. This transition has been crucial in maintaining efficiency and reliability.

“The move to a serverless architecture allows us to automatically scale resources based on demand, reducing costs while improving performance,” Peta explains. “It also lets our development team focus on core functionalities without getting bogged down in server management, speeding up our development cycles.”

Combining AI tools with a strong cloud infrastructure, Peta has improved his team’s ability to provide reliable and dynamic financial advice.

Peta’s work helps democratize access to financial advice. The platform removes traditional barriers like high minimum investment amounts or the need for expensive financial advisors, allowing individuals from all financial backgrounds to manage their financial future.

Peta’s Award-Winning Work Advances Financial Technology

Peta’s work has gained recognition for its impact on the software and IT industry, particularly in cloud-based development and data migration. In 2024, he received a Global Recognition Award for these contributions. Beyond his industry achievements, he has authored over 10 peer-reviewed research papers. He serves as a reviewer for journals like the International Journal of Advanced Research in Science, Engineering, and Technology (IJARST), the International Journal of Innovative Engineering and Management Research (IJIEMR), and the International Journal for Recent Development in Science and Technology (IJRDST).

Currently, Peta is exploring the use of AI in predictive analytics for financial forecasting, which could further enhance personal finance management. “The future of financial advice lies in integrating AI, cloud computing, and user-centric design,” Peta says. “Our research and development efforts aim to create more advanced tools that adapt to the changing financial industry while remaining accessible and understandable to users.”

Peta’s work certifies the role of AI and ML in making financial advice more accessible. His contributions advance financial technology and hold the potential to improve financial outcomes for many individuals, demonstrating the impact of new technology in the financial sector.

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