Role: Lead Software Engineer
Technologies: Python, MQTT, Node-RED, PostgreSQL, React
Designed and implemented a real-time monitoring platform for industrial equipment. Built an edge computing solution using Raspberry Pi with MQTT protocol for sensor data collection. Developed a responsive web dashboard for real-time analytics and predictive maintenance alerts. Reduced mean time to failure by 40% through early anomaly detection.
Role: Software Architect
Technologies: AWS IoT Core, Lambda, Kinesis, Docker, Kubernetes
Architected a scalable cloud-based data pipeline handling 100,000+ messages/second. Implemented edge-to-cloud hybrid solution with local processing capabilities. Designed data transformation and enrichment services. Achieved 99.99% uptime SLA and reduced latency by 60%.
Role: Embedded Systems Engineer
Technologies: C/C++, STM32, CAN bus, Modbus, ARM Cortex-M
Developed firmware for multi-protocol industrial controller supporting CAN bus and Modbus. Implemented real-time processing with hard deadlines and interrupt handling. Optimized memory usage for resource-constrained environment (512KB RAM). Achieved 50% reduction in power consumption through efficient scheduling.
Role: Full Stack Developer
Technologies: React Native, TypeScript, Firebase, Offline-First Architecture
Built offline-first mobile app for field data collection in areas with poor connectivity. Implemented local SQLite database with cloud synchronization. Developed push notification system for real-time alerts. Used by 500+ field technicians across multiple sites.
Role: Creator & Maintainer
Technologies: Python, MQTT, Docker, GitHub
Designed an open-source framework simplifying IoT application development. 1000+ GitHub stars, active community contributing use cases and extensions. Documented comprehensive API and deployment guides. Framework adopted by startups and enterprises for rapid prototyping.