Objective
To design and implement IoT-enabled solutions that connect embedded devices, sensors, and cloud applications—enabling real-time monitoring, automation, and analytics for smart automotive and industrial ecosystems.
Solution & Approach
Requirement Analysis & Configuration
- Collaborated with OEMs and industrial clients to define IoT architecture for connected devices, gateways, and cloud integration.
- Identified key parameters for sensor data collection, telemetry, and device control.
- Configured data acquisition frameworks to ensure reliable and secure information flow between edge devices and cloud platforms.
Network Management and Development
- Developed IoT gateways to manage multi-protocol communication (CAN, MQTT, HTTP, BLE).
- Designed cloud connectivity modules for telematics, predictive maintenance, and remote configuration.
- Integrated AI-driven data analytics pipelines for real-time insights and anomaly detection.
- Enabled device-to-device (D2D) and device-to-cloud (D2C) communication using REST APIs and secure MQTT brokers.
Memory and Bootloader Integration
- Implemented firmware update mechanisms (FOTA) for distributed IoT nodes.
- Developed non-volatile memory management to store and recover sensor data under network interruptions.
- Integrated secure boot and rollback functions for fault-tolerant operation across edge devices.
Security Enhancement
- Adopted end-to-end encryption, TLS/SSL, and device-level authentication mechanisms.
- Deployed cloud access control policies aligned with ISO 27001 and IoT cybersecurity standards.
- Conducted penetration and resilience testing for connected devices under simulated network attacks.
Testing and Validation
- Conducted functional and interoperability testing across different IoT protocols and hardware platforms.
- Validated edge-to-cloud data flow, latency performance, and device reliability under varying network conditions.
- Implemented automated test environments for continuous integration and remote monitoring simulations.
Impact
- Enabled real-time data visibility and control across distributed systems.
- Improved device uptime and reliability through predictive analytics and secure FOTA mechanisms.
- Reduced manual maintenance and downtime costs by automating diagnostics and updates.
- Supported scalable IoT ecosystems for connected vehicles, smart infrastructure, and industrial automation.
Tech Stack
- Azure IoT Hub
- AWS IoT Core
- MQTT
- REST APIs
- CAN
- BLE
- Python
- C++
- Docker
- Kubernetes
- Grafana
- Node-RED
- TLS/SSL Security
- ISO 27001
- FOTA
