Vishnupriya S Devarajulu
Software Engineer, American Express
Clermont, Florida, United States
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Vishnupriya S Devarajulu is a Senior Full Stack Software Engineer with over a decade of experience in software development and performance engineering at companies like American Express and Wells Fargo. She developed the UI/API Performance Optimization Framework, enhancing the scalability and reliability of mission-critical applications at American Express. With a Master’s degree in Computer Engineering and 20+ publications in AI, Machine Learning, and Software Optimization, Vishnupriya combines technical expertise with a passion for innovation and knowledge sharing.
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Optimizing Software Applications with Performance Framework: A Practical Approach
This session delves into the development and application of a Performance Optimization Framework using Karate Gatling and modern technologies like Scala to enhance the reliability and scalability of critical software systems. Highlighting its implementation for American Express’s Intuitive Servicing Portal (ISP), the talk will showcase how the framework addresses performance bottlenecks, ensures seamless user experiences, and supports modular, reusable application architectures.
Attendees will gain practical insights into building an efficient UI/API performance testing framework, optimizing resource utilization, and aligning performance testing with business objectives to safeguard significant investments and improve operational efficiency. In closing, the session will offer a glimpse into ongoing enhancements, including the integration of Artificial Intelligence for predictive performance optimization, setting the stage for the future of intelligent software testing.
AI and It's Impact on Data Privacy and Technology
In this session, we will explore the critical role of safeguarding data privacy in the development and deployment of AI-driven software applications. With AI systems increasingly handling sensitive personal information, it is essential to understand the privacy challenges these technologies present. We will discuss how to implement privacy-preserving techniques, including differential privacy, data anonymization, and secure data storage, to protect user information. Through real-world examples and case studies, attendees will gain insights into the practical steps required to balance the innovative capabilities of AI with the necessary safeguards to ensure user trust and regulatory compliance. This session is ideal for anyone working on AI applications who wants to understand how to better safeguard data and respect privacy.
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