Ian J. Latchmansingh

Human-Centric Design Leader & Technologist in NYC
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. 
Organizations I’ve worked with include:

  1. NASA/JPL
  2. Wendy's
  3. Lloyds of London
  4. Better.com
  5. Bridgestone
  6. The New York Times R&D
  7. Veeva
  8. Disney
  9. John Deere
  10. PODS

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.

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
ALL  WORKS   PROJECTS  MEDIA
How do we train models to classify non-existent artifacts? I propose acknowledging the emerging role of a Situation Designer: one who creates virtual representations of real-world circumstances for training and simulation. I also highlight advancements in design technology like digital twins and machine learning model training for synthetic image data generation, with focus on parameterizing environmental and situational factors to create realistic virtual scenes.




©MMXXI
Perfection is achieved, not when there is nothing more to add,
but when there is nothing left to take away.