Portrait of S. Dinesh

S. Dinesh

IoT & Embedded Systems Engineer

I build resilient embedded products across ESP32, STM32, and Raspberry Pi, layering secure MQTT, OTA updates, and real-time telemetry dashboards for industrial and consumer environments.

Currently building

AI-powered oral cancer detection optimization using DenseNet201 + AO

25+

Devices automated end-to-end

12

Protocols integrated (WiFi, BLE, LoRa)

5

Production-grade dashboards

Case Studies

Projects

Industrial IoT Monitoring

Redundant ESP32 nodes stream air-quality, vibration, and thermal data to a Raspberry Pi MQTT broker with live alerting dashboards.

ESP32 MQTT Node.js
Deployed on: GitHub Pages

Home Automation Hub

Unified control surface for lighting, HVAC, and energy meters with scheduling, presets, and responsive PWA controls.

ESPHome React PWA FastAPI
Deployed on: GitHub Pages

Environmental Logger

Modular sensor stack records particulate, temperature, and barometric data locally and syncs to the cloud for long-term analytics.

ESP32 InfluxDB React Native
Deployed on: GitHub Pages

Interested in working together?

Technical Range

Skills

Microcontrollers

ESP32 · STM32 · Arduino · FreeRTOS

ExperienceAdvanced

Wireless & Protocols

MQTT · BLE · Wi-Fi · LoRa · Modbus

ExperienceAdvanced

Firmware & Edge

Embedded C/C++ · OTA · Device security

ExperienceProficient

Cloud & Dashboards

AWS IoT · Node.js · Next.js · Grafana

ExperienceProficient

Interested in working together?

Experience

Experience

IoT Systems Intern - Hitachi Energy

Built edge telemetry flows for ESP32 devices, delivering improved alerting accuracy and dashboard visibility.

Interested in working together?

Validation

Certifications

Oracle AI Foundations

Oracle · 2024

AI/ML

Leveraged AI services to augment predictive maintenance flows.

Verify Credential →

IoT (NPTEL)

NPTEL · 2025

IoT

Comprehensive training on embedded comms, gateways, and analytics.

Verify Credential →

Python for Data Science

NPTEL · 2024

Data

Backbone for analytics, alert thresholds, and on-device ML.

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About

About

I am an IoT engineer focused on embedded systems, secure device telemetry, and real-time monitoring workflows. I specialize in building reliable sensor networks, edge processing pipelines, and dashboards that turn field data into decisions. I enjoy working on systems that blend hardware, firmware, and cloud services.

Interested in working together?

Availability

Contact

Open to software developer roles.

Need a specialist for telemetry platforms, microcontroller firmware, or edge-to-cloud integrations? Send a note and I will respond within one business day.