Ian J. Latchmansingh

Human-Centric Design Leader & Technologist in NYC
IoT Provisioning, Monitoring, and Maintenance for Light & Wonder
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. Reduces wasteful service visits by 90%.

AWS Blog Post
AWS Innovation Ambassadors Podcast
Filed under:
IoT
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
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
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.
Filed under:
IoT
Spatial Computing
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.




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