SK

Shanthi Karpurapu

Independent Researcher | AI/ML & AI for Software Engineering

Shanthi Karpurapu is an independent researcher in Generative AI and software engineering, with more than a decade of experience leading and developing test automation for enterprise systems in healthcare, banking, and manufacturing. Her research explores how Large Language Models can automate acceptance testing, support developer productivity, and improve software quality assurance. She also studies efficient deep learning for medical applications and computational methods for spectroscopic analysis.

Research Interests

Publications

AI for Software Engineering & Testing

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation

IEEE Access · 2024

Cypress Copilot: Development of an AI Assistant for Boosting Productivity and Transforming Web Application Testing

IEEE Access, vol. 13 · 2025

The Role of GitHub Copilot on Software Development: A Perspective on Productivity, Security, Best Practices and Future Directions

arXiv preprint arXiv:2502.13199 · 2025

Deep Learning & Scientific Computing

UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification With Up to 54x Fewer Trainable Parameters for Resource Constrained Devices

IEEE Access · 2025

A Novel Approach for Analysis of FTIR Membrane Spectroscopy

IEEE 7th International Advance Computing Conference (IACC) · 2017

Invited Talks

Transforming Testing with Generative AI: A Demonstration

Agile DevOps East 2023 · Orlando, FL · November 2023

Articles

Continuous Testing with Self-Healing: Why Is It Important?

StickyMinds · July 13, 2022

Contact

s.karpurapuru@karpurapuresearch.org