Harmony investigates three interconnected problems: how XR systems perceive and represent continuous human state, how persistent spatial memory enables genuine adaptation across sessions, and how explainable AI mediation builds the trust that makes all of this deployable at scale. Ten years of building the systems that didn't solve these problems is what defined the research.
XR + AI Researcher · Author · Greater Seattle Area
Building practical XR + AI systems for real use.
Over 50 XR projects and prototypes led to one recurring issue: most XR systems do not retain context across sessions. My research focuses on that gap through Harmony and applied OpenSpatialAI work, with a practical emphasis on systems that can perceive, remember, and adapt in real workflows.
Currently Building
OpenSpatialAI
OpenSpatialAI is an early-stage GitHub project exploring APIs, memory, adaptive XR behaviors, and world-model experiments for XR workflows, grounded by the Harmony research framework.
Personal profile and research record. For public lab work, visit Varun Innovates; for client delivery, visit VeeRuby.
2 Books & Manuscripts
Best Paper Award · IARIA ICDT
3+ Peer-Reviewed Publications
Thesis Fellowship · Texas State
Elevate Unnati Grant
Featured In & Recognised By
Microsoft
IEEE
Infosys
Apress / Springer
Sensors · MDPI
SiliconIndia