Guilherme Balduino Lopes

• 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 and maintaining high-performance microservices and telemetry workflows in Golang to handle high-throughput communication for distributed ecosystems.
• Managing relational database schemas, migrations, and ORM-based data access to support mission-critical operations and backend services.
• Developing robust real-time firmware in C++ and ESP-IDF, integrating sensor data and device states into backend systems, ensuring secure, optimized, and efficient data ingestion pipelines optimized for downstream AI processing.
• Leading the strategic integration of AI initiatives at both ends of the stack: LLM-powered capabilities in cloud and telecom platforms, and intelligence embedded directly within IoT hardware constraints.

• 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.
• Engineered real-time embedded firmware in C/C++ to ensure resilient edge connectivity utilizing MQTT, LoRaWAN, Wi-Fi, and 4G/LTE protocols.
• Developed automation workflows and scalable backend APIs using Python (Flask) and Go to optimize system observability and network operations monitoring.
• Utilized ESP-IDF and PlatformIO environments for firmware development, contributing directly to the physical deployment of 5 new IoT hardware lines.

• Automated legacy industrial hardware setups by engineering a custom remote IoT gateway using Python, Modbus TCP, and MQTT pipelines.
• Deployed event-driven, serverless data pipelines on AWS using Lambda, DynamoDB, and AWS IoT Core for real-time telemetry processing.

• PiKiTo Pages (02/2026 – Present): Developing and deploying customized, high-performance landing pages and web applications utilizing TypeScript (pikitopages.com).
• WaveHub (06/2023 – Present): Co-founded a technical partnership to engineer custom applications and automation workflows, delivering tailored software solutions (wavehub.dev).
• Data & Automation (10/2021 – Present): Engineered data analysis pipelines and custom automation scripts using Python and Pandas, integrated with Power BI dashboards to optimize business operations.

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.

Core coursework in control systems, real-time automation, robotics, analog/digital electronics, industrial communication protocols, and embedded systems design.