I build engineering infrastructure for spatial computing, robotics measurement & AI workflows.
Principal software engineer and technical leader with 12+ years architecting hardware-in-the-loop automation, robotics-based performance measurement systems, and AI-driven analysis tools for XR and aerospace products.
Display Integration — Waveguides, Light Engines & Human Comfort
Our team's work in System Analysis, Verification, and Validation (SAVV) — optics integration, robotics testing, and AI-assisted workflows — as featured on MagicLeap.com.
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"Our engineering team tightly integrates display subassemblies, combining waveguides, light engines, and human-centric calibration to deliver advanced displays built for augmented reality."
Robotics-Based Spatial Measurement: Led the team architecting a robotics-based measurement platform — precision motion capture, display capture, computer vision, and synchronization — for millimeter-level spatial tracking & display evaluation.
Cross-Team Platform Adoption: Drove adoption of the robotics-based performance measurement platform across perception, graphics, mechanical, electrical, and calibration teams by establishing trusted, data-driven workflows.
World-Lock & Hand-Tracking Benchmarks: Replaced subjective manual evaluations with vision and signal-processing pipelines to quantify registration error, jitter, drift, and motion-to-photon latency.
Theme Park Predictor
Machine-learning crowd & wait-time forecasting for top theme parks — a hands-on playground for modern AI dev tools, prompt engineering, and real-time data streaming.
Leverages machine-learning models, historical ride wait-time telemetry, and weather/seasonal data to predict crowd density, optimal attraction routing, and wait times across top theme parks.
Predictive Models
AI-driven crowd forecasting & wait-time estimates trained on historical park throughput data.
AI Tooling Sandbox
Experimental field for rapid prototyping with modern LLMs, automated data agents, and clean UI design.
Itinerary Optimizer
Algorithmic day planning to minimize queue time and maximize park enjoyment.
Work Experience
Technical leadership across XR spatial computing, defense, and aerospace engineering.
Magic Leap
- Established an engineering performance platform and source of truth for end-to-end AI assistant performance on prototype smart glasses, scaling evaluations from dozens of scenarios manually to thousands daily.
- Created a configuration-driven framework to scale automated AI assistant performance evaluation across 10+ tool integrations (YouTube Music, Calendar, Gmail).
- Led development of HIL (Hardware-in-the-Loop) infrastructure for prototype smart glasses, coordinating mechanical, software, and systems engineering for automated hardware-software validation.
- Built integration tooling and CLI workflows enabling automated testing through Android XR device farm and CI/CD pipelines with unattended 24/7 recovery.
- Developed an AI-driven engineering analysis platform automating root-cause investigation of complex hardware/software failures, reducing investigation time from hours to minutes.
Magic Leap
- Led engineering team building a robotics-based measurement platform for XR spatial computing performance (motion capture, display capture, computer vision, precision sync).
- Drove adoption of robotics-based performance platforms across perception, graphics, mechanical, electrical, and calibration teams.
- Replaced subjective manual evaluations with automated regression measurement for AR world-lock stability (quantifying registration error, drift, jitter, and latency).
- Established standardized hand-tracking benchmarks quantifying motion-to-photon latency, noise, and tracking error across competitive XR devices.
Magic Leap
- Led technical execution of a 400-user device deployment program for Magic Leap One prior to commercial launch, managing OS provisioning, app setup, and checkout workflows.
- Developed telemetry analysis tools and reporting workflows transforming field data into commercial launch readiness insights.
Belcan Corporation
- Engineered a rapid-prototyping and automation framework unifying C#, MATLAB, and Python workflows into a common execution environment, saving $300K in automation costs.
- Designed telemetry analytics systems for commercial and military engine programs, ingesting flight-test and fleet sensor data into troubleshooting pipelines.
- Built operational analytics engines ingesting ACARS/ACMF telemetry for fleet anomaly detection and FAA-required launch readiness decisions.
Skills & Capabilities
Platform architecture, robotics, spatial computing, AI workflows, and software development.