SentinelGrid — Industrial IoT Monitoring & Predictive Maintenance

SentinelGrid | Industrial IoT Monitoring & Predictive Maintenance

Problem: Industrial teams need to identify abnormal equipment behavior early, investigate sensor events, and reduce unplanned downtime.

Proposed Solution: Develop an industrial monitoring system that ingests machine telemetry, evaluates configurable thresholds, detects anomalies, and coordinates maintenance workflows.

Core Features:

• Simulated IoT devices transmitting temperature, vibration, pressure, and operating metrics.
• Real-time telemetry ingestion through REST APIs or MQTT.
• Streaming event processing and configurable anomaly rules.
• Equipment health scoring and historical trend analysis.
• Alert prioritization, incident assignment, and maintenance tracking.
• Device authentication, user permissions, and audit history.
• Automated tests and reproducible deployment pipelines.

Technology Stack: Angular, TypeScript, Node.js, Express.js, MQTT, PostgreSQL, Redis, Socket.IO, Docker, GitHub Actions.

Engineering Focus: Event-driven architecture, telemetry ingestion, real-time systems, fault detection, data modeling, and reliability engineering.

Role: Full-Stack Software Engineer | Independent Project