Software Engineering Student • Full-Stack Developer • R&D Professional
Manaus, Amazonas, Brazil ·
Email ·
LinkedIn ·
ORCID ·
Lattes
I am a software development and Research, Development, and Innovation professional based in Manaus, Brazil. I have experience designing, developing, testing, maintaining, and monitoring software solutions, particularly web applications used in industrial and research environments.
I am currently working at Sidia Institute of Science and Technology and pursuing a bachelor's degree in Software Engineering at the Federal University of Amazonas — UFAM.
Throughout my professional and academic career, I have contributed to projects involving:
- Artificial Intelligence and information retrieval;
- Industry 4.0 and industrial digitalization;
- Internet of Things and RFID systems;
- Computer vision and quality inspection;
- Web, desktop, and supervisory systems;
- Software testing and quality assurance;
- Requirements elicitation and software modeling;
- DevOps, infrastructure, and observability.
I have worked in different roles across agile R&D projects, including front-end development, back-end development, full-stack development, requirements analysis, testing, infrastructure support, and technical research.
- Develop and maintain front-end and back-end software applications;
- Identify, document, investigate, and resolve software defects;
- Design and execute unit, integration, system, and performance tests;
- Monitor and document the performance of web and desktop services;
- Integrate software services with Artificial Intelligence models;
- Apply AI to information retrieval, summarization, and content generation;
- Model and maintain relational and non-relational databases;
- Support CI/CD pipelines, containerized environments, and application infrastructure;
- Elicit and document software requirements using collaborative and user-centered techniques;
- Contribute to technical documentation, scientific publications, and software registrations.
- Artificial Intelligence and Machine Learning;
- Computer Vision;
- RFID systems;
- IoT devices and ESP32;
- ZPL and industrial label printing;
- Modbus TCP/IP communication;
- Supervisory and monitoring systems;
- Industrial data collection;
- Embedded systems and prototyping;
- Information security;
- 3D modeling.
2025
An intelligent supervisory system that applies Artificial Intelligence and Computer Vision to inspect solder joints on printed circuit boards in Surface-Mount Technology production processes.
The project focused on improving inspection efficiency, traceability, and decision support in industrial quality-control operations.
Main areas:
- Artificial Intelligence;
- Computer Vision;
- Industry 4.0;
- Software integration;
- Supervisory systems;
- Industrial quality inspection.
2024–2025
An IoT gateway prototype designed to collect and transmit information in material-handling and industrial logistics environments.
The solution combined embedded devices, RFID technology, communication services, and web-based components to support data acquisition and operational traceability.
Main areas:
- ESP32;
- RFID;
- IoT gateways;
- Industrial logistics;
- Data transmission;
- Back-end and web integration.
2023–2024
A web-based inventory management solution integrated with RFID readers and tags, enabling real-time item tracking and improved inventory visibility.
Main areas:
- Full-stack development;
- RFID integration;
- Real-time inventory tracking;
- Database modeling;
- Industry 4.0;
- Web application development.
- Supervisory System for Weld Quality Inspection on PCBs in the SMT Process Using Artificial Intelligence Aimed at Industry 4.0
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Development of a Prototype Gateway for Data Collection and Transmission in Material Handling Systems — Gate Move 4.0
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Development of an Intelligent System for Tracking RFID Tags Applied to Industry 4.0
More information about my research and publications is available through my:
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SCIDT — Intelligent TCP Data Collection Software: Gate Move 4.0 Registration:
BR512024003912-0· 2024 -
SCEIR — RFID Inventory and Stock Control System Registration:
BR512024003994-5· 2023 -
SCMTI — Modbus TCP/IP Communication Socket Registration:
BR512024003987-2· 2023
Federal University of Amazonas — UFAM 2023–2027
Fundação Nokia de Ensino / Fundação Matias Machline 2020–2022
- 🇧🇷 Portuguese: Native proficiency;
- 🇬🇧 English: Intermediate proficiency, particularly in reading and writing.
I can support projects from requirements elicitation and solution design to implementation, testing, deployment, monitoring, and maintenance.
I have experience with unit, integration, system, and performance testing, as well as bug documentation, investigation, and resolution.
I work with the integration of AI models into software services and the application of AI to information retrieval, summarization, and content generation.
I have contributed to solutions involving RFID, ZPL, IoT gateways, industrial data collection, supervisory systems, and manufacturing environments.
I have experience managing Linux-based services, containerized applications, reverse proxies, monitoring platforms, databases, and CI/CD-oriented workflows.
📧 Email: pedro.brrs.mendonca@gmail.com
💼 LinkedIn: Pedro Henrique Barros Mendonça
🔬 ORCID: 0009-0001-9575-2656
📄 Lattes: Lattes Curriculum
💻 GitHub: @PedroHenriqueBM
Proactivity · Quality · Transparency · Continuous Learning · Continuous Improvement