About Nandhini Anand Jeyahar
Interdisciplinary background spanning computer vision, cognitive science, and systems facilitation.
My journey started with a fascination for genetic algorithms and machine vision. Over two decades, it has evolved into a deep practice of systems thinking, data engineering, and group dynamics.
I work with teams who want to make better decisions. Sometimes that means writing optimized C++ scene detection code, sometimes it means auditing dataset leakage, and sometimes it means facilitating applied theater circles.
Key Conceptual Milestones
2002–2006
Early Vision & Thread ProfilingScoping machine vision quality inspections for screw thread profiles; early algorithms in C.
2008–2010
Cognitive Science & AGI StudiesM.Tech rejections redirected to a Master's in Cognitive Science; thesis in NLP. Deep dive into transhumanism and dynamical models.
2016–2021
Industrial Data Science RolesFive years in business-to-data-science bridge positions, learning how organizations distort metric systems.
2021–Present
Systems Redesign & Applied ImprovCombining model monitoring, edge computing, MLOps, and Applied Theater for restorative coordination.