Ian Latchmansingh


Human-Centric Design Leader & Technologist in NYC
SHOW:  ALL  CASE STUDIES  EXPERIMENTS
Broadcast Monitoring using Machine Learning and Computer Vision
Functional Prototype
This solution, for which I designed and developed the interface, allows for the automation of lower-level broadcast monitoring tasks 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. 
IoT Provisioning, Monitoring, and Maintenance for Casino Gaming
Functional Prototype
Network monitoring and repair application for an electronic gaming manufacturer. Enables technicians to identify, queue, procure parts for, and provision devices on-site through sensors for predictive maintenance. Reduced wasteful service visits by 90%.
Filed under:
IoT
Contextual Augmented Reality Interfaces for the Internet of Things
Proof of Concept
Visualizing and manipulating IoT devices in a singular, contextual, spatial interface. I worked with Ramin Firoozye︎︎︎ to craft a UI prototype for what his ARIoT concept would look like in practice. The results of which were  revealed at AWS Reinvent 2019.
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.
Adaptive UI with Pose Detection
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.
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
  • 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
BIO


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.

Organizations I’ve worked with include: NASA/JPL, Wendy's, The NBA, Better.com, The Ad Council, Discovery Channel, Disney, Comcast, and John Deere - to name a few.




©MMXXI
Design is done when there is nothing left to take away.