Currently working at Harpia • MSc in Telecommunications at INATEL • Building intelligent systems for real-world applications
I am currently working at Harpia while pursuing my MSc in Telecommunications at the National Institute of Telecommunications (INATEL).
My background combines research, development, and applied innovation in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Edge Computing, IoT, and Data Science. I work on intelligent systems designed for practical and scalable applications across sectors including healthcare, telecommunications, smart cities, maritime surveillance, embedded AI, and industrial monitoring.
I enjoy building solutions that connect research and real-world impact, especially when involving edge devices, real-time inference, computer vision pipelines, and data-driven decision systems.
- Applied AI and data-driven solutions at Harpia;
- Finishing my master’s research at INATEL;
- Expanding projects in Computer Vision, Edge AI, IoT, and Data Science;
- Building scalable intelligent systems for real-world environments;
- Advancing toward the next stage of my academic journey with a PhD;
- Edge AI and TinyML;
- Computer Vision for real-time systems;
- Machine Learning and Deep Learning;
- Smart Cities and intelligent mobility;
- Medical imaging and healthcare AI;
- Embedded systems and IoT;
- Data Science and analytics;
- Cloud and edge deployment pipelines;
- AI for monitoring, tracking, and decision support;
Currently contributing to projects involving intelligent systems, AI, and data-oriented solutions.
Working on research and development projects involving:
- Edge AI and low-power inference optimization;
- Smart city systems;
- Vehicle tracking and monitoring;
- License plate recognition;
- Speed and distance estimation;
- Driver monitoring and multi-risk detection;
- Medical imaging and AI-assisted analysis;
- Reinforcement learning and intelligent control systems;
- HapiAI — Data Scientist focused on medical imaging and DICOM workflows;
- VSTelecom — Software & IoT development with React, PHP, and Laravel;
- NOKIA — Documentation management and telecom systems quality analysis;
- HUAWEI — Telecom systems quality analysis for FTTH/FTTX environments;
- HAMC Hospital — Technical maintenance, documentation, and process support;
- INATEL — Academic Tutor in Quantum Physics, Analog Electronics, and Digital Signal Processing;
- Python;
- C++;
- JavaScript;
- PHP;
- SQL;
- Machine Learning;
- Deep Learning;
- Computer Vision;
- PyTorch;
- TensorFlow;
- Keras;
- Scikit-learn;
- OpenCV;
- Pandas;
- Data Analysis;
- Statistical Modeling;
- ReactJS;
- Flutter;
- MySQL;
- APIs and system integration;
- Full Stack Web Development;
- Automation and RPAs;
- Git and GitHub;
- Docker;
- AWS;
- Google Cloud;
- Microsoft Azure;
- Edge Computing;
- Cloud-based AI pipelines;
- IoT;
- EdgeML;
- RAG and LLM-based systems;
- OpenAI and GenAI workflows;
- Cybersecurity fundamentals;
- DevOps;
- Embedded intelligence;
Here are some of the topics I have worked on in my academic and applied research journey:
-
Performance Evaluation of Edge Computing Object Detection Models for Maritime Surveillance on a Raspberry Pi
IEEE LATINCOM 2024; -
A Federated Learning-based Solution for Pneumonia Diagnosis in Remote and Low-Income Areas
SBrT 2024; -
Defect Detection in Printed Circuit Boards Based on EdgeML and Computer Vision
ICICyTA 2024; -
EdgeML-Driven Real-Time Vehicle Tracking and Traffic Control for Traffic Management in Smart Cities
Applied Sciences (MDPI); -
Embedded Real-Time Multi-Risk Detection: An EdgeML-Powered System for Driver Monitoring
IEEE Embedded Systems Letters;
- Smart Cities;
- Maritime monitoring and vessel tracking;
- Healthcare and medical imaging;
- Driver monitoring systems;
- Traffic monitoring and urban analytics;
- Embedded computer vision;
- Industrial inspection;
- AI-assisted intelligent monitoring;
- Data-driven dashboards and analytics systems;
- MSc in Telecommunications — INATEL;
- Bachelor’s Degree in Biomedical Engineering — INATEL;
- Microsoft Certified: Azure AI Fundamentals;
- Power BI & Data Analytics;
- Object Detection with YOLO, Darknet, OpenCV, and Python;
- Big Data & Analytics;
- Artificial and Computational Intelligence;
- Linux Fundamentals;
- CyberOps Associate;
- Network Security;
- CCNA: Introduction to Networks;
- Cybersecurity in 5G Networks;
- 5G Core Training;
- Lean Six Sigma Yellow Belt;
- Portuguese — Native;
- English — Intermediate / Advanced;
- Spanish — Intermediate;
I am passionate about transforming research into practical solutions. My goal is to contribute to projects that combine AI, intelligent systems, embedded computing, and real-world impact, always seeking innovation, efficiency, and scalability.