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\name{Guilherme}{Balduino Lopes}

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\begin{center}\textbf{Senior AIoT \& Backend Engineer | Applied AI \& LLM Systems}\end{center}
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\faMobile\enspace +55 34 99197-9386 & \enspace\enspace & \faEnvelopeSquare\enspace \color{blue} guilhermebalopes@gmail.com & \enspace\enspace & \faGlobe\enspace \color{blue} \href{https://mikin.ai}{mikin.ai} \\
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\faLinkedin\enspace \color{blue} \href{https://www.linkedin.com/in/guilhermebl/}{linkedin.com/in/guilhermebl} & \enspace\enspace & \faGithub\enspace \color{blue} \href{https://github.com/GuilhermeMikin}{github.com/GuilhermeMikin}
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\section{Profile}
{Senior Software Engineer with over 4 years of experience designing and building production-grade enterprise systems at the intersection of Cloud Backend, Embedded Systems (AIoT), and Applied AI. Specialized in architecting scalable, high-performance microservices using Golang and Python, alongside robust device firmware in C/C++. Proven track record in designing end-to-end intelligent pipelines, managing large-scale IoT fleets, and deploying cloud-native architectures on AWS. Currently expanding expertise in production-focused AI engineering, including LLM architectures, MLOps, and autonomous agents to bridge the gap between edge, cloud, and intelligence.}

\section{Professional Experience}

\customcventry{10/2024 -- Present}{{\color{blue}\href{https://www.envor.tec.br/}{Envor Technologies}}}{Senior AIoT \& Backend Engineer}{Remote}{}{
{\begin{itemize}[leftmargin=0.6cm, label={\textbullet}]
    \item Designing and architecting high-performance microservices using Golang and Python tailored for the telecommunications sector.
    \item Architecting scalable AIoT ecosystems from the ground up to handle high-throughput, low-latency communication between distributed IoT devices and cloud infrastructure.
    \item Developing robust real-time firmware solutions using C++ and ESP-IDF, ensuring secure, optimized, and efficient data ingestion pipelines optimized for downstream AI processing.
    \item Leading the strategic integration of Edge AI initiatives and defining the technical roadmap to embed intelligence directly into IoT hardware constraints.
\end{itemize}}}

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\customcventry{08/2022 -- 01/2024}{{\color{blue}\href{https://wisebyte.com.br/}{Wisebyte}}}{R\&D Engineer (Promoted from Analyst)}{Uberlândia, Brazil}{}{
{\begin{itemize}[leftmargin=0.6cm, label={\textbullet}]
    \item Managed the entire deployment and lifecycle of an active fleet of over 1,500 IoT devices, architecting backend features in Golang and Python across 7 distinct product models.
    \item Engineered real-time embedded firmware in C/C++ to ensure resilient edge connectivity utilizing MQTT, LoRaWAN, Wi-Fi, and 4G/LTE protocols.
    \item Developed automation workflows and scalable backend APIs using Python (Flask) and Go to optimize system observability and network operations monitoring.
    \item Utilized ESP-IDF and PlatformIO environments for firmware development, contributing directly to the physical deployment of 5 new IoT hardware lines.
\end{itemize}}}

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\customcventry{07/2021 -- 08/2022}{{\color{blue}\href{http://www.feelt.ufu.br/lasec}{LASEC - UFU}}}{Research Intern}{Uberlândia, Brazil}{}{
{\begin{itemize}[leftmargin=0.6cm, label={\textbullet}]
    \item Automated legacy industrial hardware setups by engineering a custom remote IoT gateway using Python, Modbus TCP, and MQTT pipelines.
    \item Deployed event-driven, serverless data pipelines on AWS using Lambda, DynamoDB, and AWS IoT Core for real-time telemetry processing.
\end{itemize}}}

\section{Education}
\customcventry{12/2025 -- 12/2026}{\color{blue}\href{https://unipds.com.br/}{UNIPDS / Anhanguera}}{Postgraduate Degree in Applied Artificial Intelligence Engineering}{Remote}{}{
Specialization focused on building production-grade AI systems. Core curriculum covers LLM architectures, advanced fine-tuning, autonomous agents, Model Context Protocol (MCP), MLOps pipelines, cloud scalability, and data governance.}

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\customcventry{2015 -- 2021}{\color{blue}\href{http://www.feelt.ufu.br/graduacao/engenharia-de-controle-e-automacao}{Universidade Federal de Uberlândia}}{B.Sc. in Control and Automation Engineering}{Uberlândia, Brazil}{}{
Core coursework in control systems, real-time automation, robotics, analog/digital electronics, industrial communication protocols, and embedded systems design.}

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\section{Technical Skills}
{\begin{itemize}[leftmargin=0.6cm, label={\textbullet}]
    \item \textbf{Languages:} Go (Golang), Python, C/C++, SQL, Shell Scripting
    \item \textbf{Applied AI \& Backend:} LLM Integration, Agentic AI, MCP, Microservices, REST APIs, Docker, Kubernetes, Kafka, Redis
    \item \textbf{Cloud \& DevOps (AWS):} EC2, S3, Lambda, IoT Core, DynamoDB, IAM, VPC, CI/CD, Grafana, Prometheus
    \item \textbf{Embedded \& IoT Systems:} Firmware Development, ESP-IDF, FreeRTOS, MQTT, LoRaWAN, Modbus, TCP/IP, SPI, I2C
\end{itemize}}

\section{Certifications \& Development}
{\begin{itemize}[leftmargin=0.6cm, label={\textbullet}]
    \item \textbf{AWS Certified Cloud Practitioner}, Amazon Web Services
    \item IoT Specialist [AI for IoT], DIO
    \item DevOps \& Agile Culture, FIAP
\end{itemize}}

\section{Publications}
\textbf{Development and Implementation of a Remote Control and Monitoring System in the Context of Industry 4.0} \\
\textit{Bachelor's Thesis, UFU (2021). Available at: {\color{blue}\href{https://repositorio.ufu.br/handle/123456789/37011}{University Repository}}} \\
Designed an end-to-end industrial cloud telemetry system leveraging AWS IoT Core, Lambda, and an ESP32/Raspberry Pi gateway.

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\textbf{A Remote MQTT-based Data Monitoring System for Energy Efficiency in Industrial Environments} \\
\textit{VECTOR - Journal of Exact Sciences and Engineering (2021). DOI: {\color{blue}\href{https://doi.org/10.14295/vetor.v31i2.13726}{10.14295/vetor.v31i2.13726}}}

\section{Languages}
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    \begin{itemize}[label=\textbullet]
        \item \textbf{Portuguese:} Native
        \item \textbf{English:} Fluent
        \item \textbf{French:} Intermediate
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