Suddhasvatta Das

Registered user since Thu 22 Jun 2023

Name:Suddhasvatta Das
Bio:

I am a Ph.D. candidate in Computer Science (ABD) at Arizona State University, with over eight years of combined professional experience spanning software engineering, applied research, and university-level teaching. My career began with four years as a software engineer in the banking and finance industry, where I built and maintained mission-critical mainframe systems and large-scale financial applications. Building on this industry foundation, I have spent the last four-plus years advancing software engineering research, mentoring students, and contributing to complex academic projects.

My doctoral research focuses on business-value-driven regression testing in agile environments, where I have mathematically formalized regression testing and developed a genetic algorithm-based tool for intelligent, business-value-centric regression test selection. This market-ready solution enhances CI/CD delivery speed and reliability by aligning testing effort with business priorities. Complementing this innovation, I have published peer-reviewed work on Machine Learning Operations and agile software engineering pedagogy, underscoring a strong research record and the ability to turn cutting-edge ideas into practical solutions.

Alongside my research, I have designed and delivered enterprise-scale cloud transformations, including the modernization of legacy mainframe systems into secure, event-driven AWS architectures that achieve measurable efficiency gains. I have also supported interdisciplinary projects that required careful project planning, cross-team coordination, and on-time delivery of advanced software systems.

Equally committed to education, I have taught and mentored extensively at Arizona State University, designing and delivering a wide range of undergraduate and graduate courses and guiding honors, master’s, and Ph.D. students. Recognized with teaching excellence awards, I am passionate about creating inclusive, project-based learning environments that blend theory and practice.

Country:United States
Affiliation:Arizona State University
Research interests:Software Engineering, Agile Methods, Software Testing

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