About Me

Engineer bridging hardware, cloud, and AI products.

I am Guilherme "MiKiN" Balduino Lopes, a Control and Automation engineer specialising in backend platforms, IoT ecosystems, and AI-driven services. Over the last four years I have architected resilient APIs, managed fleets of 1,500+ connected devices, and led R&D efforts that blend firmware, data pipelines, and cloud automation.

What Drives Me

  • Design and deliver end-to-end IoT and AI platforms that connect devices, data, and delightful user experiences.
  • Hands-on leadership of AI R&D initiatives, building scalable Go and Python services backed by AWS.
  • Full lifecycle oversight of complex device fleets, from embedded firmware to observability and automation.

Core Stack

Languages

Go (Golang)PythonC/C++SQLShell Script

Backend & DevOps

MicroservicesREST APIsDockerKafkaRedisPrometheusGrafanaGit

Cloud (AWS)

EC2S3LambdaIoT CoreDynamoDBIAMVPCSNS

Databases

PostgreSQLMySQLMongoDBDynamoDBRedis

Embedded & IoT

Firmware DevelopmentESP-IDFPlatformIOReal-Time Systems (RTOS)

Protocols

HTTP/HTTPSMQTTLoRaWANModbusWebSocketsTCP/IPUARTSPII2C

Experience

  • Oct 2024 - Present

    Senior AIoT & Backend Engineer • Envor

    Remote

    • Designing and architecting high-performance Golang microservices for the telecommunications sector.
    • Architecting a scalable AIoT ecosystem from the ground up to handle high-throughput communication between IoT devices and the cloud.
    • Developing robust firmware solutions using C++ and ESP-IDF, ensuring secure and efficient data ingestion for future AI processing.
    • Leading the strategic integration of Edge AI, defining the technical roadmap to embed intelligence directly into IoT hardware.

  • Aug 2022 - Jan 2024

    R&D Engineer (Promoted from Analyst) • Wisebyte

    Uberlândia, Brazil

    • Managed the lifecycle of 1,500+ IoT devices while shipping new backend capabilities in Go and Python for seven device models.
    • Engineered real-time firmware in C/C++ with connectivity over MQTT, LoRaWAN, Wi-Fi, Ethernet, and 4G/LTE.
    • Created automation and monitoring tooling that improved operational efficiency and accelerated new launches.
    • Launched five new IoT device models using ESP-IDF and PlatformIO, coordinating firmware, hardware, and backend updates.

  • Jul 2021 - Aug 2022

    Research Intern • LASEC - UFU

    Uberlândia, Brazil

    • Automated a legacy industrial conveyor using Python, MQTT, Modbus, and Node-RED to enable remote control.
    • Deployed a cloud data pipeline on AWS with Lambda, DynamoDB, and IoT Core for real-time telemetry.
    • Delivered a Modbus-to-MQTT gateway interface with Kivy to simplify configuration and rollout.

Education

  • B.Sc. Control and Automation Engineering

    Universidade Federal de Uberlândia • Uberlândia, Brazil

    2015 - 2021

    • Coursework in control systems, robotics, industrial protocols, and embedded systems development.

Certifications

  • AWS Certified Cloud Practitioner

    Amazon Web Services • Sep 2022

  • IoT Specialist [AI for IoT]

    DIO • Oct 2023

  • DevOps & Agile Culture

    FIAP • Sep 2022

Spoken Languages

  • PortugueseNative
  • EnglishFluent
  • FrenchIntermediate

Publications

  • Development and Implementation of a Remote Control and Monitoring System in the Context of Industry 4.0

    Bachelor’s Thesis • Universidade Federal de Uberlândia • 2021

    Architected a Modbus-to-MQTT gateway on Raspberry Pi and an AWS-based pipeline with IoT Core, Lambda, DynamoDB, and SNS, delivering an end-to-end Industry 4.0 platform.

  • A Remote MQTT-based Data Monitoring System for Energy Efficiency in Industrial Environments

    VECTOR - Journal of Exact Sciences and Engineering • 2021

    Presented an IoT framework that streams Modbus telemetry via MQTT to cloud dashboards, enabling AI-ready energy efficiency insights.