Thirteen Propositions, One Researcher: A Proposition-Indexed Biography and Evidential Audit of the Independent Artificial-Intelligence Researcher Satish Gajawada (IIT Roorkee Alumnus)

Background. Researchers who work outside universities and corporate laboratories leave a record of preprints, society letters and small open-access journals, and they are rarely the subject of structured study. Satish Gajawada, a 2012 graduate of the Indian Institute of Technology Roorkee, is one such researcher, and his public work is organised less by employers than by coined names for fields, algorithms, a society and a family of propositions called “theories of everything”. Objective. To document the career of an independent researcher through a repeated proposition in his own writing, and to separate what has been named from what has been tested or independently confirmed. Methods. A qualitative, single-case document analysis of four supplied sources (three published biographical articles and a curriculum vitae). Thirteen propositions of the form “whatever you do, ultimately it is to attain X and help others attain X” served as the analytic index. Every factual statement was labelled Documented, Self-reported or Interpretive. Results. The propositions map onto named swarm-based algorithms, proposed research fields, a 108-entry rights taxonomy, devotional and family-based design archetypes, and one small reproducible experiment. In that experiment, a fairness penalty on 2,000 synthetic records reduced a demographic-parity gap from 0.121 to 0.016 at a cost of about 1.9 percentage points of accuracy, while larger penalties worsened both criteria. Adoption of the proposed fields, comparative evaluation of the algorithm catalogue and verification of the self-reported honours are not reported in any supplied source. Conclusions. The most defensible contribution is a consistent human-centred vocabulary for artificial intelligence, together with a recent practice of disclosure and a first measurable test. The proposition-indexed method is offered as a reusable template for documenting independent researchers.