Computer engineer in training with hands-on experience in IoT, embedded systems, and connecting devices, sensors, and cloud services. I learn by doing — building prototypes, drivers, and end-to-end integrations that bridge hardware and software in real environments.

I work with ESP32/ESP8266, Raspberry Pi as an edge gateway, and communication protocols such as MQTT and WebSockets. I also have exposure to OPC UA, Asset Administration Shell (AAS), digital twin concepts, and RAMI 4.0, mainly through integration tasks, data mapping, and experimentation in industrial and research projects.

I also develop Android applications (Kotlin – MVVM) and cloud pipelines using AWS services such as Lambda, S3, API Gateway, and Rekognition, combining edge and cloud to process and deliver real-time insights.

I enjoy projects involving automation, sensors, data flows, and prototyping. I learn by experimenting, testing, and understanding how each part of the architecture behaves. Each project helps me grow toward building more robust, scalable, and intelligent systems.

Experience with:

• Sensor data acquisition and communication
• ESP32/ESP8266 programming
• Edge gateways using Raspberry Pi
• MQTT, TCP/IP, HTTP, WebSockets
• Industrial exposure: OPC UA, AAS, digital twin concepts, RAMI 4.0
• Drivers that convert raw sensor data into structured models

• AWS Lambda, S3, API Gateway, Rekognition
• Firebase Auth, Firestore, Realtime Database
• Data processing pipelines
• Hardware-to-cloud integration

• Native Android (Kotlin – MVVM)
• REST API integration
• Clean and responsive UI/UX
• Real-time data visualization

Feb–May 2025 | Research & Extension Project

Android application using AI and computer vision to identify Amazonian medicinal plants.

Tech: Kotlin, AWS Lambda, Rekognition, S3, RDS
Features: Image capture, cloud inference, botanical dataset
Impact: Supports cultural preservation and scientific accessibility

Aug–Nov 2024 | Awarded 2nd place at Engenharia Week

IoT system for real-time monitoring of electrical consumption using ESP8266 + Firebase + Android.

Tech: ESP8266, Firebase, Android
Highlights: Real-time graphs, cost estimation, mobile dashboard

Minimalist Android timer built using Kotlin and real-time UI updates.

My interests are focused on connecting the physical and digital worlds through IoT, embedded systems, and early-stage cyber-physical integrations. I explore how devices, sensors, cloud services, and industrial standards can work together to build smarter and more reliable systems.

Areas I’m currently studying and experimenting with:

• Cyber-Physical Systems (CPS) applied to real environments
• IoT architectures combining microcontrollers, edge gateways, and cloud processing
• Edge computing with Raspberry Pi for data aggregation and local decision-making
• Industrial interoperability, including:
  • OPC UA for structured industrial communication
  • Asset Administration Shell (AAS) for digital representations of devices
  • RAMI 4.0 concepts related to integration and data layers
• Digital twin experimentation, data mapping, and synchronization of device data
• Embedded development with ESP32/ESP8266
• Cloud pipelines using AWS (Lambda, API Gateway, S3, Rekognition)
• Mobile applications that integrate IoT or cloud processing
• Prototyping & experimentation as the primary method for learning complex architectures

I’m especially motivated by projects where hardware, software, and cloud services converge — environments that require creativity, testing, and practical problem-solving to make systems communicate effectively.

Bachelor in Computer Engineering
Faculdade Matias Machline – Manaus, AM

Interested in IoT, automation, embedded development, cloud integrations, and emerging technologies.
Feel free to reach out!