XR + AI Researcher | XR Systems & Validation Engineer
Building the intelligence layer — and making XR systems reliable in the real world.
Focused on debugging, validating, and scaling XR systems across devices, environments, and users.

XR resets every session. Apps stay siloed. Intelligence never compounds.
OpenSpatialAI is the infrastructure layer for spatial systems that maintain memory, context, and reliable behavior across sessions and environments
· 10+ years in XR systems · 50+ systems deployed · 2 books published
Adaptive Intelligence
Spatial systems that infer intent from behavior, context, and environment — and retain that understanding over time.
OpenSpatialAI
The infrastructure layer for persistent, intelligent XR — systems that remember context, not just render it.
Currently Open To
- XR Systems Validation
- Enterprise Integrations
- Real-World Deployments
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Recognized by leading research institutions and global tech companies







Varun Kumar Siddaraju
XR + AI Researcher | XR Systems & Validation Engineer
I’m Varun Siddaraju — researcher and the person building OpenSpatialAI. I focus on one problem: making XR systems understand, adapt, and behave reliably in real-world environments.
10+ years across XR systems, research, and deployment in education, healthcare, and spatial computing.

Applied research that ships
Harmony XR + AI Framework
Blends Extended Reality with Artificial Intelligence to create smart, adaptive, and human-centered immersive experiences for learning, training, and real-time interaction. (Work in progress)
PSLAR
An AR-based research project that enhances psychomotor skill learning through real-time visual feedback and adaptive training experiences.
AR Indoor Ray Tracing
Conducted research on the development of specialized algorithms for mobile and augmented reality applications, optimizing computational efficiency and performance.
Mixed Reality Programming for HoloLens (2nd Edition) |
Small Teams, Strong Systems

A production guide to building mixed reality applications — from spatial mapping fundamentals to deployment-ready systems. Published by Apress. Available on Amazon and Springer.

A practical guide to building high-leverage systems for scaling teams—focused on decision-making, workflows, and eliminating bottlenecks. Designed for founders and operators working with AI, automation, and distributed teams.
Problems I focus on — making XR systems reliable, testable, and deployable in real-world conditions.
- Blog

Intelligent spatial interfaces go beyond visuals — they sense context, understand human behavior, and adapt in real time. This article...
- Blog

In a world where technology often races ahead of humanity, my work sits at the bridge — where Extended Reality...