Executive Leader in Physical AI, Simulation, and Intelligent Systems
Executive Leader in Physical AI, Simulation, and Intelligent Systems
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I build the infrastructure that enables machines to understand, interact with, and learn from the physical world.
Over the last decade, I have led multidisciplinary initiatives spanning synthetic data, robotics simulation, digital humans, computer vision, teleoperation, and AI platforms. My work bridges research and production, helping organizations move from prototypes to scalable intelligent systems.
Clients and collaborators have included Google DeepMind, Waymo, Meta, Blue Origin, KPMG, Pfizer, Labyrinth AI, and numerous organizations operating at the frontier of Physical AI.
SELECTED CLIENTS
SELECTED CLIENTS
FEATURED RESEARCH & CASE STUDIES
FEATURED RESEARCH & CASE STUDIES
Physics-Based Scenario Simulation for Autonomous Systems
Physics-Based Scenario Simulation for Autonomous Systems
I helped build a physics-first simulation capability designed around realism rather than animation.
High-Fidelity VRU Crash Physics Evaluation
I led a structured pilot designed to evaluate advanced physics engines under extreme conditions.
Advanced Hardware Engineering and Process Leadership
Advanced Hardware Engineering and Process Leadership
I provided architecture and engineering leadership across the lifecycle of advanced aerospace systems.
Synthetic Data Generation for Physical AI
Synthetic Data Generation for Physical AI
I helped develop next-generation synthetic data systems designed to support embodied AI and robotics research.
Procedural Scene Generation for Machine Learning
I transformed fragmented asset libraries into highly flexible procedural environments capable of generating rich machine-learning datasets.
Simulation-Ready Asset Pipeline
Simulation-Ready Asset Pipeline
I helped create pipelines that convert static content into physically interactive environments.
Egocentric Vision and PII Processing
Egocentric Vision and PII Processing
I designed ML workflows capable of processing large-scale first-person video datasets.
Spatial Computing for Robot Training
Spatial Computing for Robot Training
Together with Labyrinth AI, I helped build a pipeline that converts Apple Vision Pro hand tracking into robotic training data.
Real-Time AI Digital Human
Real-Time AI Digital Human
I created "Natalie," a conversational digital human built for mixed reality.
Robitics Simulation
Robitics Simulation
I create digital twins and simulation environments that enable robotic systems to be validated before physical deployment.
Robitics Vizualization
Robitics Vizualization
I produce cinematic visualizations that help communicate complex robotic systems to customers, investors, and stakeholders.
Agentic AI Scheduler
Agentic AI Scheduler
I helped develop an AI-driven scheduling platform designed to optimize robotic operations.
SAAS Platforms
SAAS Platforms
Physical AI Asset Cloud
Simulation-Ready Asset Generation Platform
Simulation-Ready Asset Generation Platform
A cloud platform that converts scans, CAD files, Gaussian splats, and images into simulation-ready assets.
Synthetic Data Factory
Data Generation Platform for AI and Robotics
Data Generation Platform for AI and Robotics
A scalable platform for producing training datasets for embodied AI.
AREAS OF EXPERTISE
Physical AI
Synthetic Data
Robotics Simulation
Digital Twins
Machine Learning Infrastructure
Computer Vision
Spatial Computing
Digital Humans
Agentic AI
Teleoperation
Robotics Operations
Aerospace Systems
Simulation-Ready Assets
PHILOSOPHY
PHILOSOPHY
I believe simulation is not the product.
Simulation is infrastructure.
The future belongs to organizations that can generate, validate, and operationalize synthetic reality at scale.
That future is Physical AI.
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