Open to opportunities

Guilherme Lopes

@guilhermemikin

I build high-performance microservices, AI, and IoT systems connecting devices, telemetry, and intelligent applications.

Brazil

Message

What I'm looking for

I'm looking to build production AI, cloud backend, and IoT systems where I can connect devices, telemetry, scalable platforms, and LLM-powered capabilities while leading technical architecture and delivery.

I'm leading backend architecture and AI integration for CUCA AI at Envor Technologies, building multi-tenant APIs, high-throughput Golang microservices, telemetry workflows, and real-time C++ firmware for distributed ecosystems.

At Wisebyte, I managed the lifecycle of more than 1,500 IoT devices across seven product models. I built Go and Python backend services, resilient embedded firmware, and connectivity systems using MQTT, LoRaWAN, Wi-Fi, and 4G/LTE.

My work bridges hardware, cloud platforms, and operational data. I've deployed AWS telemetry pipelines with Lambda, DynamoDB, and IoT Core, and developed industrial IoT gateways using Python, Modbus TCP, and MQTT.

I'm expanding my production AI engineering practice through LLM architectures, RAG, autonomous agents, MCP, and MLOps. I also build custom web applications, automation workflows, data pipelines, and Power BI dashboards through freelance work and WaveHub.

Experience

Work history, roles, and key accomplishments

Current

Senior AIoT & Backend Engineer / Tech Lead

Current

Envor Technologies

Oct 2024 - Present (1 year 10 months)

Serving as Technical Lead for the CUCA AI platform, overseeing backend architecture, multi-tenant implementation, and scalable API design using Golang, Python, and TypeScript. Designing high-performance microservices and telemetry workflows, managing relational database schemas, and developing real-time firmware in C++ and ESP-IDF.

Python TypeScript C++Esp Idf Microservices Telemetry Relational Databases ORM MQTT AWS LLM AI

Education

Degrees, certifications, and relevant coursework

UNIPDS / Anhanguera

Postgraduate Degree, Applied Artificial Intelligence Engineering

2025 - 2026

Postgraduate degree in Applied Artificial Intelligence Engineering, focusing on production-grade AI systems including LLM architectures, fine-tuning, autonomous agents, MLOps, and data governance.