Work

Applied Systems & Research Vehicles

Name: Beginning Windows Mixed Reality Programming
Author: Varun Siddaraju
ISBN: 978-1-4842-7103-2

Research gains credibility when grounded in real product constraints. These selected systems and work areas explain what shaped the Harmony framework.

VeeRuby Technologies

Founded and led as CEO (2021–23). An applied XR vehicle across education, healthcare, and architecture/engineering/construction. Now the organizational home for Harmony research.

Education Healthcare Architecture & Construction

OpenSpatialAI

OpenSpatialAI is an early-stage GitHub project exploring APIs, memory, adaptive XR behaviors, and world-model experiments for XR workflows.

Get in Touch About OpenSpatialAI

Selected Work Notes

LabXR — Adaptive Educational Environments

ProblemScience labs in under-resourced schools lack equipment for hands-on learning.

ConstraintMust work on consumer-grade hardware with no IT support infrastructure.

System DecisionDesigned context-aware spatial guidance that adapts to student progress rather than following fixed scripts.

InsightInformed Harmony's adaptive guidance research axis.

Enterprise XR at Scale — Ong Innovations

ProblemA single XR training system deployed across organizational contexts behaves differently than in lab conditions.

ConstraintFive years of observation across engineering, product, and program scopes — not a controlled study.

System DecisionTreated the enterprise deployment as a longitudinal research opportunity, tracking adoption patterns and system evolution.

InsightDeep understanding of how XR systems behave under real organizational constraints. Directly informed Harmony's evaluation methodology and RQ2.

XR City Model Viewer — Spatial Urban Planning

ProblemUrban planners and architects need to experience 3D city models in context, not just view them on flat screens.

ConstraintCity models are enormous datasets; rendering must be performant without losing spatial accuracy for planning decisions.

System DecisionMixed reality spatial anchoring with persistent annotations — planners walk through and annotate the model in physical space.

Outcome / InsightDemonstrated that spatial persistence across sessions is not just useful for training — it fundamentally changes planning workflows. Key precedent for Harmony Memory layer design.

Books

Beginning Windows Mixed Reality Programming

Apress · 2nd Edition · 2021 · ISBN 978-1-4842-7103-2

A comprehensive guide to building mixed reality applications — from spatial mapping fundamentals to production-grade systems. Available on Amazon and Springer.

Small Teams, Strong Systems

Self-published · 2025 · Designing High-Leverage Work for Scaling Teams

A systems thinking guide for founders, builders, and managers on delivering complex AI-native products with small teams — clarity, ownership, and decision quality over headcount.

Amazon

Product Demos & Videos 34 demos · 6 categories

The default view stays tight on the strongest public examples. Switch filters if you want the broader demo trail across education, healthcare, architecture, training, enterprise, and spatial computing.