Lead the end-to-end development lifecycle of the AIOT platform, including system architecture, design, coding, testing, deployment, and ongoing maintenance.
Architect and oversee the development of AI modules such as facial recognition, occupancy prediction, behavioral analytics, and workspace well-being indicators.
Guide the development of scalable, intuitive front-end dashboards and user interfaces for real-time data visualization and analytics.
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