I develop end-to-end Industrial IoT platforms and digital solutions that connect physical assets to the cloud. By combining my software engineering background (backend, cloud, AI) with mechanical systems knowledge, I create intelligent monitoring and predictive maintenance systems.
From sensor integration and edge computing to cloud data pipelines and AI-powered dashboards, I handle the full stack. My solutions reduce unplanned downtime, optimize energy consumption, and provide real-time visibility into industrial operations.
What you get:
→ IoT architecture and sensor integration
→ Cloud data pipeline (AWS IoT, Lambda, DynamoDB)
→ Real-time monitoring dashboard
→ AI-based predictive maintenance models
→ Digital setup and simulation
the intersection of mechanical systems, cloud software, and artificial intelligence. Perfect for companies modernizing their industrial infrastructure.
Technologies: AWS IoT, Node.js, Python, Kafka, AI/ML, Digital Twins, SolidWorks, Embedded Systems.