Yogesh S.

IoT Engineer | AWS IoT | Azure IoT | MQTT | Edge Computing | Embedded

With 6+ years of experience, I help businesses build and scale IoT solutions that are reliable in real-world environments, not just prototypes. I work across the connected-device ecosystem integrating hardware and sensors with gateways, cloud platforms, APIs, dashboards, and automation systems. My focus is on building solutions that can communicate reliably, process data in real time, and scale from an MVP to production. Most clients come to me in two situations: You have an IoT idea and need help connecting devices, gateways, cloud systems, dashboards, APIs, and automation workflows into one complete solution. Or you already have connected devices in place but face issues with connectivity, data flow, monitoring, reliability, or scalability and need someone to understand the existing setup and improve it. I can help with both. What I Build: IoT Architecture & Platforms End-to-end Edge → Gateway → Cloud → Dashboard architectures, multi-device platforms, telemetry pipelines, monitoring, and alerting systems. Industrial IoT Solutions Connected solutions for manufacturing, energy, logistics, transportation, industrial monitoring, and operational environments. Edge Computing & Gateway Integration Real-time data processing using Python, Docker, Linux-based gateways, and connected hardware. Cloud IoT Platforms AWS IoT Core, Azure IoT Hub, Lambda, API Gateway, DynamoDB, Timestream, Event Hub, IoT Edge, and Digital Twins. Smart Home & Home Automation Connected lighting, HVAC, security, access control, sensors, energy monitoring, appliances, and automated home workflows using Wi-Fi, BLE, Zigbee, and MQTT. Building Automation HVAC monitoring, lighting automation, occupancy detection, access control, energy management, and centralized monitoring. SCADA & Industrial Automation Integration with PLCs, SCADA systems, RTUs, industrial equipment, and real-time monitoring platforms. Digital Twin & Remote Monitoring Live device monitoring, asset tracking, operational insights, alerts, and data visualization. IoT Data & Dashboards ThingsBoard, Grafana, InfluxDB, time-series data, real-time dashboards, event processing, and anomaly detection. Device & Connectivity Integration RFID, BLE, NFC, GPS, LTE/NB-IoT, LoRaWAN, MQTT, Modbus, OPC UA, CAN/J1939, and other device communication protocols. Technologies I Work With IoT & Connectivity : MQTT, OPC UA, Modbus RTU/TCP, DNP3, IEC104, CAN/J1939, BLE, Wi-Fi, Zigbee, LoRaWAN, RFID, NFC, LTE, NB-IoT Edge & Gateways: Python, Docker, Linux-based gateways, Raspberry Pi, industrial gateways Cloud & Backend: AWS IoT Core, Azure IoT Hub, Lambda, API Gateway, DynamoDB, Timestream, Event Hub, Node.js, REST APIs, GraphQL Data & Monitoring: ThingsBoard, Grafana, InfluxDB, time-series analytics, real-time monitoring, anomaly detection Deployment & DevOps: Docker, Kubernetes, CI/CD, production monitoring, logging, and scalable deployment Industries I Have Worked With: Industrial Automation Manufacturing Smart Buildings Smart Home & Automation Energy & Utilities Transportation & Logistics Environmental Monitoring Connected Devices Enterprise IoT If you're building a smart home automation system, industrial IoT platform, connected-device solution, or real-time monitoring system, I can help with the architecture, device integration, connectivity, cloud, dashboards, and deployment. Whether you're starting with an MVP or improving an existing IoT ecosystem, the goal is the same: a secure, scalable solution that works reliably in the real world.