THE PARTICLE THAT KEPT MOVING: A SWARM-EQUATION BIOGRAPHY OF SATISH GAJAWADA (IIT ROORKEE ALUMNUS). INERTIA, MEMORY, GUIDANCE AND WONDER IN FOURTEEN YEARS OF INDEPENDENT ARTIFICIAL-INTELLIGENCE RESEARCH

Most biographies follow a life through time. This one follows a life through an equation. Satish Gajawada, an Integrated Dual Degree (B.Tech + M.Tech) graduate of the Indian Institute of Technology Roorkee (2012), has spent fourteen years as an independent researcher who gives names, structure and heart to ideas in artificial intelligence: Excellent AI (EAI), Very Highly Advanced AI (VHAAI), Out of the Box AI (OBAI), a society (ISVHAAI), a family of value-themed swarm algorithms, thirteen theories of human purpose, a 108-right taxonomy of human rights, and a lifelong “thesis” supervised by his parents and GOD. Reading the particle swarm update rule as a metaphor for a research life, this article identifies four forces (inertia, personal best, global best and exploration) and one outcome: a position update that, in 2026, turned decisively toward testing and open disclosure. Drawing on eight source documents, with each statement attributed to a published work, a manuscript or the subject’s own account, we show that a reproducible genetic-algorithm and PSO experiment found a fairness weight that cut a demographic-parity gap from 0.121 to 0.016 for 1.9 points of accuracy, and a gentler weight that improved accuracy and fairness together. Itemised output rose from one entry in 2012 to twelve in 2026. We conclude that Gajawada is a builder of human-centred vocabulary and institutions, a grateful son, a joyful experimenter and a candid author, and that his life offers every learner a portable update rule: keep your direction, honour your best, listen to your guides, stay curious, and keep moving.