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
Broadcast Monitoring using Machine Learning and Computer Vision
Functional Prototype
Functional Prototype
This solution allows for the automation of lower-level broadcast monitoring quality checks like audio and video anomalies that were previously manual chores. This enables human workers to focus on higher-level tasks, take action sooner, and handle a higher volume of channels without sacrificing efficacy.
AWS for M&E: Broadcast Monitoring Architecture and Design
AWS for M&E: Broadcast Monitoring Architecture and Design
Procedural Terrain Generation for Robotics Simulation and Machine Learning
Synthetic Spatial Data
Synthetic Spatial Data
Terrain generators were initially developed for the AWS + JPL (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: distort the surface, scatter obstacles of varying complexity, size, and frequency, and dynamically set the rover origin point to a flat, transitional surface.
Adaptive UI with Pose Detection
09-16-2023
09-16-2023
Proof-of-Concept demo to shift an ambient clock to a calendar view, adding interactive elements like a floating action button only when the user assumes a pose that shows the intent to interact with the surface.
©MMXXI
Design is done when there is nothing left to take away.