Internet of things

• Contributed to the development of several components of an IoT platform using Java Spring Boot.

• Proof of Concept – Burger King Brazil:

- The restaurants had Siemens PLCs connected to various sensors (temperature, motion, smoke, door, and other equipment).

- Previously, a person had to visit each restaurant manually to verify the systems.

- Developed a solution using the Modbus protocol to connect to the PLCs, collect real-time sensor data, and transmit it to the IoT platform.

- This demonstration convinced Burger King Brazil to adopt the platform for all national branches.

• Contributed to the development of several components of an IoT platform using Java Spring Boot.

• Proof of Concept – Burger King Brazil:

- The restaurants had Siemens PLCs connected to various sensors (temperature, motion, smoke, door, and other equipment).

- Previously, a person had to visit each restaurant manually to verify the systems.

- Developed a solution using the Modbus protocol to connect to the PLCs, collect real-time sensor data, and transmit it to the IoT platform.

- This demonstration convinced Burger King Brazil to adopt the platform for all national branches.

• Contributed to the development of several components of an IoT platform using Java Spring Boot.

• Proof of Concept – Burger King Brazil:

- The restaurants had Siemens PLCs connected to various sensors (temperature, motion, smoke, door, and other equipment).

- Previously, a person had to visit each restaurant manually to verify the systems.

- Developed a solution using the Modbus protocol to connect to the PLCs, collect real-time sensor data, and transmit it to the IoT platform.

- This demonstration convinced Burger King Brazil to adopt the platform for all national branches.

Burger King installation

Connected cold room

• Proof of Concept – Frozen Food Market:

- Designed and developed compact devices using ESP8266 microcontrollers and temperature sensors to monitor cold storage conditions.

- Devices detected temperature anomalies and door status.

- One malfunctioning cold room was detected during testing, leading to a successful contract win.


• Proof of Concept – Frozen Food Market:

- Designed and developed compact devices using ESP8266 microcontrollers and temperature sensors to monitor cold storage conditions.

- Devices detected temperature anomalies and door status.

- One malfunctioning cold room was detected during testing, leading to a successful contract win.


• Proof of Concept – Frozen Food Market:

- Designed and developed compact devices using ESP8266 microcontrollers and temperature sensors to monitor cold storage conditions.

- Devices detected temperature anomalies and door status.

- One malfunctioning cold room was detected during testing, leading to a successful contract win.


GPS tracking

• Proof of Concept – Hyundai:

- Addressed vehicle thefts during transportation from the factory to dealerships.

- Designed an online tracking platform using GPS trackers hidden in cars (to avoid alterations to the car systems).

- Developed a middleware bridge server to capture, translate, and forward GPS tracker data to the IoT platform instead of the original GPS server.

- Enabled secure and covert vehicle tracking during transit.

• Proof of Concept – Hyundai:

- Addressed vehicle thefts during transportation from the factory to dealerships.

- Designed an online tracking platform using GPS trackers hidden in cars (to avoid alterations to the car systems).

- Developed a middleware bridge server to capture, translate, and forward GPS tracker data to the IoT platform instead of the original GPS server.

- Enabled secure and covert vehicle tracking during transit.

• Proof of Concept – Hyundai:

- Addressed vehicle thefts during transportation from the factory to dealerships.

- Designed an online tracking platform using GPS trackers hidden in cars (to avoid alterations to the car systems).

- Developed a middleware bridge server to capture, translate, and forward GPS tracker data to the IoT platform instead of the original GPS server.

- Enabled secure and covert vehicle tracking during transit.

Montion detection

• Proof of Concept – Meeting Room Auto No-Show Detection:

- Modified a standard motion sensor to send presence signals via ESP8266 using MQTT.

- Created a custom firmware to enable secure and wireless configuration of each sensor.

- Automatically cancelled room reservations if no motion was detected at the scheduled time.

• Proof of Concept – Meeting Room Auto No-Show Detection:

- Modified a standard motion sensor to send presence signals via ESP8266 using MQTT.

- Created a custom firmware to enable secure and wireless configuration of each sensor.

- Automatically cancelled room reservations if no motion was detected at the scheduled time.

• Proof of Concept – Meeting Room Auto No-Show Detection:

- Modified a standard motion sensor to send presence signals via ESP8266 using MQTT.

- Created a custom firmware to enable secure and wireless configuration of each sensor.

- Automatically cancelled room reservations if no motion was detected at the scheduled time.

AI - Product count

• Proof of Concept – Smart Restocking:

- Trained an AI model using Facebook’s Preceptor to recognize products in a fridge.

- Combined AI product recognition with the IoT platform to monitor item counts.

- System triggered automatic restocking requests when items were running low.

• Proof of Concept – Smart Restocking:

- Trained an AI model using Facebook’s Preceptor to recognize products in a fridge.

- Combined AI product recognition with the IoT platform to monitor item counts.

- System triggered automatic restocking requests when items were running low.

• Proof of Concept – Smart Restocking:

- Trained an AI model using Facebook’s Preceptor to recognize products in a fridge.

- Combined AI product recognition with the IoT platform to monitor item counts.

- System triggered automatic restocking requests when items were running low.

EV Charging station firmware


• Firmware Development:

- Developed the firmware in Python for the electric vehicle charging stations of Greemotion.


• Firmware Development:

- Developed the firmware in Python for the electric vehicle charging stations of Greemotion.


• Firmware Development:

- Developed the firmware in Python for the electric vehicle charging stations of Greemotion.

Product development

• Developed an end-to-end prototype for a smart security tag:

- 3D-modeled and printed the enclosure, circuit board housing, and tag mechanism.

- Programmed firmware in C++ for the microcontroller.

- Integrated RF69 radio module for communication with a gateway.

- Built the gateway using embedded Linux with RF69 receiver and Python-based data relay to backend.

- Developed backend with Node.js and MongoDB.

- Created a mobile application that scanned QR codes on the tags to trigger purchases and update backend status.

- When touched, the tag transmitted data to the gateway, which verified the purchase and unlocked the tag if authorized.

• Developed an end-to-end prototype for a smart security tag:

- 3D-modeled and printed the enclosure, circuit board housing, and tag mechanism.

- Programmed firmware in C++ for the microcontroller.

- Integrated RF69 radio module for communication with a gateway.

- Built the gateway using embedded Linux with RF69 receiver and Python-based data relay to backend.

- Developed backend with Node.js and MongoDB.

- Created a mobile application that scanned QR codes on the tags to trigger purchases and update backend status.

- When touched, the tag transmitted data to the gateway, which verified the purchase and unlocked the tag if authorized.

• Developed an end-to-end prototype for a smart security tag:

- 3D-modeled and printed the enclosure, circuit board housing, and tag mechanism.

- Programmed firmware in C++ for the microcontroller.

- Integrated RF69 radio module for communication with a gateway.

- Built the gateway using embedded Linux with RF69 receiver and Python-based data relay to backend.

- Developed backend with Node.js and MongoDB.

- Created a mobile application that scanned QR codes on the tags to trigger purchases and update backend status.

- When touched, the tag transmitted data to the gateway, which verified the purchase and unlocked the tag if authorized.