XR + AI Researcher and Systems Thinker focused on designing and evaluating how immersive technologies and intelligent systems shape human interaction.
My work explores XR, AI, and HCI, with emphasis on spatial interfaces, multimodal intelligence, and adaptive XR systems for learning and real-world use.
I use system prototyping as a research method to translate ideas into testable XR + AI systems, advancing toward PhD research in adaptive XR.
Focus Areas:
XR + AI Interaction · Spatial Interfaces · Adaptive XR Systems · Multimodal Intelligence
I am an XR + AI Researcher and Systems Thinker focused on designing and evaluating intelligent immersive systems at the intersection of spatial computing, artificial intelligence, and human–computer interaction.
My work centers on how people learn, interact, and make decisions inside immersive environments—and how XR and AI systems can adapt intelligently to context, behavior, and intent. I approach execution as a way to test ideas, validate systems, and translate research into real-world impact.
Over the past several years, I’ve worked across research, prototyping, and system design—building and evaluating XR + AI platforms for learning, training, and collaborative environments. Every project I take on is a different expression of the same goal: advancing human-centered XR + AI systems that are adaptive, scalable, and meaningful in practice.
Master of Science (MS)
Electrical Engineering
Bachelor of Engineering (BE)
Electronics and Communication
I bring a research-led systems perspective to XR + AI, integrating insight from interaction research, technical experimentation, and system design.
Rather than treating XR as a delivery problem, I focus on how immersive and intelligent systems behave in real contexts — how they are designed, evaluated, and adapted to support learning, collaboration, and decision-making.
This balance of research thinking and applied validation allows ideas to be tested rigorously and translated into scalable, human-centered XR + AI systems.
Transforming XR Visions into Coherent Systems
I design and evaluate XR + AI systems that move from concept to real-world deployment through a research-led, systems-thinking approach.
My work integrates systems research, XR + AI engineering, product strategy, and applied validation to understand how immersive technologies behave in complex, human-centered environments—and how they scale.
Rather than treating XR as isolated features or services, I focus on end-to-end system coherence: how interaction, intelligence, constraints, and context work together to produce measurable impact.
Integrating Research into System Design
I translate XR + AI research into coherent system architectures—ensuring interaction, intelligence, and context work together as a unified whole rather than isolated features.
Advancing XR System Development
I design and iterate XR systems through rapid prototyping and evaluation, focusing on scalability, usability, and real-world performance across learning and workplace environments.
Enabling High-Performance Collaboration
I structure cross-disciplinary teams around clear system goals, aligning research, engineering, and design to reduce friction and improve execution quality.
Guiding Emerging Technologists
I support early-career engineers and researchers in understanding XR + AI systems holistically—bridging theory, tools, and system-level thinking.
Driving Strategic System Alignment
I analyze technical, human, and organizational constraints to align XR initiatives with long-term system viability rather than short-term outputs.
Translating Systems into Impact
I evaluate XR + AI systems in real contexts to ensure measurable outcomes—closing the loop between research insight and applied validation.
Experience is the compass that guides us through the uncharted territories of innovation.
Designed, evaluated, and iterated the Limitless VR system under real-world operational constraints, studying adoption, scalability, and organizational integration.
The work informed system structure, team configuration, and program design by validating how immersive platforms perform when deployed across multiple functions and user groups.
Designed and evaluated XR + AI product systems integrating immersive interaction, UX, and intelligent behavior.
The work focused on understanding system performance, adoption patterns, and scalability across diverse real-world contexts to inform iterative system design.
Chief Executive Officer
Designed and evaluated cross-border XR + AI systems operating across organizational and cultural contexts.
The work focused on understanding system architecture, coordination patterns, and scalability constraints to inform adaptive system design.
Director of Strategic ProgramsÂ
Designed and evaluated enterprise-scale AR/VR systems across diverse organizational contexts.
This work focused on understanding system adoption, architectural constraints, and interaction patterns to inform how immersive platforms scale and integrate in real-world environments.
Designed and evaluated AR/VR system lifecycles through prototyping and iterative testing to study adoption, risk, and system robustness.
This work focused on understanding how immersive systems evolve across constraints, documentation practices, and real-world usage conditions.
Designed and evaluated core software components for XR systems, focusing on system reliability, integration patterns, and technical constraints.
This work examined how implementation choices affect performance, maintainability, and real-world system behavior.
Conducted and evaluated mixed reality research focused on computer vision and immersive interaction using HoloLens, MATLAB, and Unity.
This work examined how XR systems perform in experimental and real-world settings, contributing to system design insights and research dissemination.
Designed and evaluated foundational software components supporting early-stage systems, focusing on backend–frontend integration and implementation constraints.
This work examined how design choices in enterprise software affect reliability, maintainability, and system behavior in real development environments.
Systems Research & Evaluation
Investigating how XR + AI systems behave in real environments by studying interaction, cognition, and system performance across users, contexts, and constraints.
XR + AI System Architecture
Designing end-to-end system architectures that integrate spatial computing, intelligent agents, and multimodal interfaces into coherent, scalable XR systems.
Adaptive Interaction Design
Exploring how users interact with immersive systems through spatial, conversational, and multimodal inputs to improve usability, learning, and engagement.
Applied System Validation
Evaluating XR + AI systems in learning and workplace settings to validate assumptions, measure outcomes, and close the loop between research and deployment.
Constraint-Aware System Thinking
Analyzing technical, human, and organizational constraints to ensure XR systems remain viable, interpretable, and sustainable beyond prototypes.
Knowledge Transfer & Mentorship
Supporting early-career researchers and engineers in developing system-level thinking across XR, AI, and human-computer interaction.
