My résumé is best seen on LinkedIn. Otherwise, you can reach me via this contact form. I am currently the Head of Design for PanasonicWELL, a US-based R&D group working at the intersection of connected devices, families, and wellness.
Most recently served as Principal Design Technologist for AWS Prototyping & Cloud Engineering in NYC from 2019 - 2023. I designed and built human-centric prototypes that employ Artificial Intelligence, Machine Learning, Robotics, Internet of Things, and Spatial Computing. Previously a UX Director for start-ups and digital creative advertising.
Most recently served as Principal Design Technologist for AWS Prototyping & Cloud Engineering in NYC from 2019 - 2023. I designed and built human-centric prototypes that employ Artificial Intelligence, Machine Learning, Robotics, Internet of Things, and Spatial Computing. Previously a UX Director for start-ups and digital creative advertising.
Organizations I’ve worked with include:
- NASA/JPL
- Wendy's
- Lloyds of London
- Better.com
- Bridgestone
- The New York Times R&D
- Veeva
- Disney
- John Deere
- PODS
PROTOTYPES & PRODUCTS
Industrial
- Virtual Remote Auditing for GxP Compliance
- CV/ML Detection of Product Defects in Aluminum Manufacturing with Fully-Synthetic Data
- Agricultural Cost Center Business Intelligence for IoT-equipped Farms
- Realtime Inventory Forecasting for Just-in-Time Manufacturing
- Supply Chain Weakness Dashboards for Agricultural Logistics
- Municipal Infrastructure Prediction and Planning Tools
- Disaster Risk Monitoring Search Interfaces for Restoration Contractors
Consumer
- VUIs for Drive Thru Restaurants
- Consumer Care Care Subscription Services
- Live Interactive Journalism
- Virtual Doping Detection for Physical E-Sports
- Online Learning for First-Time Homebuyers
Business
- VUI Design for Clinical Trials and Medication Adherence
- Distributed Consumables Procurement for Container Shipping
- Connected Devices for C-Store Cleanliness Monitoring and Task Management
- Predictive Fleet Vehicle Maintenance for SMBs
- Intelligent Damage Detection for Rental Vehicles
- Hybrid UIs for Realtime Customer Service Analytics
Procedural Terrain Generation for Robotics Simulation and Machine Learning
These terrain generators were initially developed for the AWS JPL (yes, that Jet Propulsion Laboratory) Open Source Rover Challenge. This was a virtual hackathon that challenged contestants to improve how rovers on Mars may operate on the unpredictable terrain.
This design is a fully-procedural particle system that can:
This was later repurposed to act as an environment generator for office enviroments as well.
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This design is a fully-procedural particle system that can:
- distort the surface
- scatter obstacles of varying complexity, size, and frequency
- dynamically set the rover origin point to a flat, transitional surface
This was later repurposed to act as an environment generator for office enviroments as well.
©MMXXI
Design is done when there is nothing left to take away.