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.

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
ALL  WORKS   MEDIA  PROJECTS
Autonomous Material Delivery for Just-In-Time Manufacturing
Functional Prototype
Facing a labor shortage due to a lack of licensed forklift drivers, I worked with an industrial agricultural manufacturer to support cobot orchestration for material fulfillment from a centralized warehouse (“Marketplace”) to transport parts via Autonomous Mobile Robots (AMRs) to workstations in an assembly line.
Filed under:
Robotics
Procedural Terrain Generation for Robotics Simulation and Machine Learning
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.




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