Internet of Things & Edge Computing
Ecosystems Connected
Engineering end-to-end IoT architectures, low-power sensor nodes, and real-time data streaming pipelines to bridge physical hardware with cloud intelligence.
Core Capabilities
Edge Computing & Firmware
Developing optimized C/C++ firmware for resource-constrained microcontrollers, leveraging RTOS environments and low-power sleep states.
Mesh & Telemetry Protocols
Implementing robust M2M communication pipelines using lightweight network protocols including MQTT, CoAP, HTTP REST, and ESP-NOW/LoRaWAN mesh networks.
Cloud Integration & Analytics
Architecting scalable backend infrastructure with time-series databases and real-time WebSockets for telemetry ingestion, data visualization, and remote device management.
Works Done
Project 01
Predictive Maintenance & Real-Time Artillery Diagnostics
This project modernizes conventional artillery maintenance by integrating embedded sensor networks, telemetry systems, and predictive diagnostics into legacy defense platforms.
Project 02
Machine Monitoring & Real-Time Operational Analytics
This project implements a real-time industrial machine monitoring system designed for Industry 4.0 environments using ESP32 microcontrollers, current sensing hardware, and cloud-based IoT infrastructure.
Project 03
AI-Powered Predictive Maintenance
This project is an AI-powered predictive maintenance platform designed to monitor rotating industrial machinery through real-time vibration and temperature analysis.