AI Oral Cancer Detection
Deep learning pipeline to detect oral abnormalities from clinical images with a reproducible inference flow.
Architecture: User → Frontend → Backend API → Model / Database → Output
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.
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
Deep learning pipeline to detect oral abnormalities from clinical images with a reproducible inference flow.
Architecture: User → Frontend → Backend API → Model / Database → Output
Real-time lake depth mapping system combining ESP32 sensors, GPS, and interactive visualization.
Architecture: User → Frontend → Backend API → Model / Database → Output
Interested in working together?
Redundant ESP32 nodes stream air-quality, vibration, and thermal data to a Raspberry Pi MQTT broker with live alerting dashboards.
Unified control surface for lighting, HVAC, and energy meters with scheduling, presets, and responsive PWA controls.
Modular sensor stack records particulate, temperature, and barometric data locally and syncs to the cloud for long-term analytics.
Interested in working together?
ESP32 · STM32 · Arduino · FreeRTOS
MQTT · BLE · Wi-Fi · LoRa · Modbus
Embedded C/C++ · OTA · Device security
AWS IoT · Node.js · Next.js · Grafana
Interested in working together?
Built edge telemetry flows for ESP32 devices, delivering improved alerting accuracy and dashboard visibility.
Interested in working together?
Oracle · 2024
Leveraged AI services to augment predictive maintenance flows.
Verify Credential →NPTEL · 2025
Comprehensive training on embedded comms, gateways, and analytics.
Verify Credential →NPTEL · 2024
Backbone for analytics, alert thresholds, and on-device ML.
Verify Credential →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?