AI safety monitoring
Construction monitoring products combining live streams, alerts, and mobile experiences.
Timeline
2018.06 - 2019.05
Role
Team leadership, full-stack engineering, and mobile plus web product delivery.
Outcome
Helped teams monitor sites more efficiently with realtime alerts and AI-assisted workflows.
Overview
Construction monitoring products combining live streams, alerts, and mobile experiences.
Why it mattered
Job sites needed faster detection of on-site risks with tools that worked in both mobile and web contexts.
Key decision
Treat mobile and web as one connected monitoring experience instead of splitting them into isolated products.
Hard part
AI-assisted safety workflows had to feel operationally reliable, not just technically impressive.
Outcome
Helped teams monitor sites more efficiently with realtime alerts and AI-assisted workflows.
My contribution
Role: Team leadership, full-stack engineering, and mobile plus web product delivery.
Outcome
Tech stack
Product preview
A quick look at the shipped interface and workflow.
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Viact
This case study focuses on the product workflow, technical decisions, and delivery scope rather than a visual screenshot.
Product snapshot
Construction monitoring products combining live streams, alerts, and mobile experiences.
Implementation notes
AI-assisted safety workflows had to feel operationally reliable, not just technically impressive.
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