Engineered the core Industrial IoT platform and "edge-to-cloud" ingestion pipeline, processing high-frequency sensor data from distributed construction sites. Focused on reliability in bandwidth-constrained environments and real-time safety alerting.
Edge-to-Cloud Pipeline: Built the ingestion path for time-series data, optimizing for unreliable cellular networks and handling packet loss scenarios.
Real-Time Alerting: Designed a low-latency safety engine using AWS Lambda, SNS, and WebSockets to trigger instant notifications when sensor thresholds were breached.
Protocol Optimization: Implemented MQTT and AMQP routing, optimizing payload sizes (Protobuf/Binary) to minimize data transmission costs.
Infrastructure as Code: Automating the cloud footprint by migrating manual operations to reproducible Terraform modules and Docker containers.
Tech Stack: AWS (Lambda, IoT Core, SNS), MQTT, AMQP, Terraform, Docker, Node.js, WebSockets, Time-Series Data.