Short Biography and Career Aspirations

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.

Looking forward, I am open to three complementary career pathways:
Teaching Faculty – shaping the next generation of software engineers through rigorous, application-focused pedagogy.
Research Faculty – advancing software engineering, AI/ML Operations, and cloud integration in AI systems.
Industry – as a Solution/Cloud Architect or Agile Project Manager, designing scalable, business-aligned digital architectures and managing complex software initiatives.

Publications

Peer Reviewed

1. Das, S., & Gary, K. (2025). Regression Testing in Agile—A Systematic Mapping Study. Software, 4(2), 9. https://doi.org/10.3390/software4020009
2. Chakraborty, A., Das, S., & Gary, K. (2024). Machine Learning Operations: A Mapping Study. arXiv preprint arXiv:2409.19416. Note: This is the preprint & is accepted at CSCE 2024.
3. Das, S. (2024, May). Agile Regression Testing. In 2024 IEEE Conference on Software Testing, Verification and Validation (ICST) (pp. 457-459). IEEE.
4. Das, S., & Gary, K. A. (2024, June). Developing an Agile Mindset in Software Engineering Students. In 2024 ASEE Annual Conference & Exposition.
5. Das, S., & Gary, K. (2024). Challenges and Success Factors in Large Scale Agile Transformation—A Systematic Literature Review. In International Conference on Information Technology-New Generations (pp. 405-416). Springer, Cham.
6. Kalsi, M. S., Gary, K. A., Gupta, V., Das, S. (2022, May). A Tool for Syntactic Dependency Analysis on the Web Stack. In ITNG 2022 19th International Conference on Information Technology-New Generations (pp. 25-33). Cham: Springer International Publishing.
7. Das, S., & Gary, K. (2021). Agile transformation at scale: A tertiary study. In Agile Processes in Software Engineering and Extreme Programming–Workshops: XP 2021 Workshops, Virtual Event, June 14–18, 2021, Revised Selected Papers 22 (pp. 3-11). Springer International Publishing.
8. Dutta, A., Kalpak Seal, M. D., Banerjee, S., Das, S., & Sarkar, S. A Fuzzy Clustering based Automatic Human Eye Monitoring System.

AWS Architecture Design

• Legacy z/OS Modernization with AWS - A Hybrid Approach for a Payment Routing System Download
• Legacy z/OS Modernization with AWS - A Hybrid Approach for a Data Ingestion System Download

Back to Top

Teaching & Mentorship

Research Mentoring and Supervision

• Barrett Honors: Braydn Richard, Gali, Ani (Fall 24), Leya Ann (Fall 22)
• Masters Thesis: Aniruddha Mondal (Fall 23), Rishikesh Anand (Spring 24), Disha Suresh (Fall 22), Shreen Dass (Fall 21)
• Junior PhD: Abhijit Chakraborty (Spring 24)

Instructor of Record

SER 516 - Software Agility & SER 321 - Distributed Systems (Spring 25)
FSE 100 - Introduction to Engineering (Fall 24, Spring 24, Fall 23, Spring 23, Fall 22)
CSE 360 - Intro to Software Engineering (Summer 24)
CSE 100 - Principles of Programming with C++ (Summer 24, Summer 23)
SER 316 - Software Enterprise Construct (Summer 23, Summer 22)
CSE 598 - Advanced Software Analysis & Design (Summer 22, Summer 21)
CSE 110 - Principles of Programming (Spring 22, Fall 21, Spring 21, Fall 20)

Graduate Teaching Assistant

CSE 205 - Object-Oriented Programming (Spring 22);
CSE 310 - Data Structures & Algorithms (Spring 21, Summer 20);
SER 316 - Software Enterprise Construct (Spring 20);
SER 416 - Software Enterprise Project & Process (Spring 20);
CSE 240 - Introduction to Programming Languages (Fall 19);
SER 222 - Data Structures & Algorithms (Summer 19);
SER 402 - Software Engineering Senior Year Capstone Project (Spring 19);
SER 322 - Principles of Database Management (Spring 19);
SER 421 - Web Apps (Fall 18);
SER 232 - System Fundamentals (Fall 18)

Roles & Responsibilities:

1. Lecturing, Developing Content, Assignment and Exams
2. Supervise teaching team (GTAs, UGTAs, Graders and other support staff)
3. Evaluate & grade students

Back to Top

Service

Reviewer

• Journal of Transforming Government: People, Process and Policy (2025)
• International Journal of Electrical and Computer Engineering (2025)
• HICSS conference (2024)

SME

CSE 598 - Advanced Software Analysis & Design (Summer 23, Fall 24)

Back to Top