Machine Learning Engineer | 2+ Years Experience | Python, Computer Vision, Artificial Intelligence

Machine Learning Engineer

I am a Machine Learning Engineer with a solid background in application engineering and intelligent systems, holding a Master's in Informatics Engineering from the University of Minho. My core strength lies in designing and deploying AI solutions that solve real-world challenges at scale — especially in domains like smart mobility, image retrieval, and behavioral analytics. I combine technical expertise in machine learning, software engineering, and data pipelines to deliver systems that are robust, scalable, and production-ready.

Technical Skills

• Programming Languages: Python, C, C++, Java, SQL
• AI/ML Frameworks: TensorFlow, PyTorch, Keras
• Computer Vision: OpenCV, facial recognition, image embeddings
• Data Processing: Pandas, Numpy, Seaborn, Matplotlib
• Architecture: REST APIs, Docker
• Databases: MySQL, PostgreSQL, vector databases
• Cloud & Tools: Azure, Git, Docker, CI/CD

Professional Experience

Altice Labs – Machine Learning Engineer

September 2024 – Present

Part of the Intelligent Systems Division, focused on ML for smart mobility and infrastructure optimization:

• Built and deployed a traffic forecasting system adopted by over 19 municipalities, improving congestion management and emergency preparedness.
• Analyzed 250,000+ data points from traffic, weather, and public works alerts to model traffic patterns and expose critical correlations.
• Designed and benchmarked 5 time series forecasting models; deployed the top-performing one to production.
• Modeled urban road networks as graphs, enabling route simulations and optimization for city planners.

Internships

Altice Labs – Machine Learning Intern

September 2023 – September 2024

Developed a deep-learning-powered image search engine for the MEO Cloud platform:

• Created a microservice-based system enabling image retrieval via vector similarity search, supporting up to 100,000 users.
• Used PyTorch and OpenCV to extract image embeddings and integrated a high-performance vector database.
• Ensured scalability and security using Docker and API gateway isolation.
• Co-authored an Altice white paper and an EPIA conference paper on the project.

Key Projects

CrowdFlow

AI platform for real-time in-store customer behavior analysis:

• Co-led development of a plug-and-play tool using computer vision to analyze movement paths, dwell times, and zone heatmaps.
• Helped secure 2 national innovation awards for entrepreneurship and technical impact.

Face Fraud Detection

• Designed a neural network to detect AI-generated fake faces, improving fraud detection for media and digital ID verification.

Folder Fast Sync

• Created a serverless UDP-based file sync tool for remote environments without Internet connectivity.

oNode – Media Distribution

• Built a bandwidth-efficient media platform prototype using multiple transport protocols for accessible content delivery.

Publications

• Efficient Image Search and Retrieval System in Cloud Platforms — EPIA 2024, International Conference on Artificial Intelligence
• Artificial Intelligence in Efficient Image Search on MEO Cloud — Altice Labs White Paper

Languages

• Portuguese – Native
• English – C1
• Spanish – B2

Soft Skills

• Effective communicator and team player
• Self-driven and goal-oriented
• Entrepreneurial and adaptable mindset

Awards & Recognitions

• 2nd Place, Startup Braga Pre-acceleration Program
• Capgemini Innovation Award, Mostra Nacional de Jovens Empreendedores
• Honor Student, Colégio de Albergaria