
About
Karthik Shivashankar is a Doctoral Research Fellow in Software Engineering at the University of Oslo's Department of Informatics. His research develops transformer-based NLP methodologies to enhance software engineering processes, focusing on technical debt identification, issue classification, and maintainability optimization.
Investigation domains include machine learning applications for task prioritization in development workflows, anti-pattern detection in ML systems, and scalable maintenance solutions. Recent publications demonstrate novel approaches to automating software quality assessment through issue tracker analysis and repository mining.
Shivashankar contributes to the Software Engineering (SE) research group with cross-disciplinary applications in educational policy analysis and healthcare AI. His scholarly outputs reflect consistent emphasis on bridging NLP capabilities with practical software engineering challenges.
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