Learning.
Technology.
Purpose.

Preparing for the Class 10 board examination within the resources available through one school.

Could learning improve by looking beyond a single set of notes?

Seek material from students studying the same syllabus in different schools.

Compared notes and approaches from several schools and built a broader understanding of the subjects.

Transition from Hindi-medium schooling to an English-medium Science environment.

How can understanding continue when the concepts are familiar but their language has changed?

Treat language as a learning problem rather than a reason to retreat.

Used subject dictionaries, diagrams and self-study to rebuild technical vocabulary across Physics, Chemistry and Biology.

The expected medical pathway did not become the direction that life ultimately took.

What should come next when the planned route is no longer available?

Choose something unfamiliar instead of repeating another known path.

Entered B.Sc. General and selected Computer Science as an additional subject in 1984.

Initial computer education offered limited practical exposure.

How can technology really be understood without sufficient hands-on access?

Seek an environment with deeper practical learning.

Joined an Air Force vocational computing programme despite a demanding daily commute. Worked with DOS-based systems, floppy booting, BASIC, COBOL, FORTRAN, Pascal, debugging, compilation and practical system operation.

Computer laboratory time was insufficient for experimentation.

Should limited access simply be accepted?

Ask for more practical access.

Raised the issue collectively and advocated for additional laboratory time so students could experiment beyond prescribed exercises.

An accident prevented participation in an important recruitment test.

Should a missed test automatically mean a missed opportunity?

Ask directly whether another opportunity to be considered was possible.

Returned, explained the situation, attended the interview and was selected.

Computerisation was beginning to enter institutional operations.

How can technology become useful to people who are not computer specialists?

Teach technology through the work people actually need to perform.

Supported non-teaching staff in learning computer-based administrative processes alongside teaching students.

Computer Aided Learning content required coordination between subject teachers and software developers.

How can educational intent be translated into a working digital system?

Act as a bridge between domain users and developers.

Collected lesson requirements, communicated them to developers, reviewed outputs with teachers, gathered feedback and returned required changes.

The university-level computing pathway changed and the existing teaching direction no longer appeared sufficient for the future.

Should the same path be continued simply because it was familiar?

Do not wait for the path to become completely limiting.

Began moving from a teaching-only identity toward broader technical and institutional roles.

India's 2016 demonetisation raised economic questions that a technology background alone did not answer.

If I do not understand an important financial and economic change myself, how can I explain it responsibly to others?

Study the question rather than remain satisfied with partial understanding.

Joined the Advanced Programme in Strategic Management (APSM10) at Indian Institute of Management Calcutta. Later pursued M.A. Economics to deepen the understanding further.

Strategic management introduced multiple perspectives rather than one fixed answer.

How should decisions be understood when human, organisational and economic systems behave differently from deterministic technical systems?

Accept complexity rather than force a technical-style single answer.

Continued formal study in Economics and developed a broader multidisciplinary perspective.

Early PhD directions such as Homomorphic Encryption and Cybersecurity did not find the right research fit and supervision.

Should the research remain attached to a preferred topic, or move toward a field where deeper guidance and meaningful work were possible?

Choose Machine Learning despite it being unfamiliar.

Shifted the doctoral direction toward machine-learning algorithms and identified credit scoring as the applied research problem.

Suitable data for thin-file credit-scoring research was difficult to obtain.

Should lack of data end the research?

Treat data scarcity as a research problem in itself.

Created a synthetic dataset using Python, documented it, published research data through Harvard Dataverse and made supporting code available through GitHub.