Ian J. Latchmansingh
Human-Centric Design Leader & Technologist in NYCMy 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.
I have a strong foundation in traditional design with a focus on information technology and 19 years of professional experience, serving both as a people manager and an individual contributor. My career has been diverse, spanning start-ups, agencies, cloud providers, public broadcasting, and public archaeology—I believe variety truly is the spice of life. I'm also dedicated to giving back as a volunteer facilitator, mentor, and teacher, most recently speaking to the Industrial Design program at CUNY. On a personal note, I'm a tinkerer, musician, and proud dog dad.
I 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.
SELECT CUSTOMERS AND COLLABORATORS
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 Car 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
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
Perfection is achieved, not when there is nothing more to add, but when there is nothing left to take away.