10/16/2025 updated
100 % available
Python Developer | Automation, Data, ETL & Machine Learning
Mafra, Portugal
Worldwide
BSc Computer Science and Engineering | MSc Computer Science and Engineering (currently)About me
I’m a developer experienced in data analysis, ETL pipelines, machine learning, and automation systems. Whether you need to clean and structure data, build predictive models, or implement AI-driven workflows and chatbots, I can help! Skilled in Python, SQL, APIs, n8n and chatbot development.
Application Programming Interfaces (APIs)Artificial IntelligenceAlgorithmsData AnalysisArtificial Neural NetworksAutomationCustomer Relationship ManagementMedical RecordsDatabasesExtract Transform Load (ETL)Data MiningExperimentationGraph DatabasePython (Programming Language)Linear Algebra
AI & ML Research and Personal Projects | IST
Hackathon Participant – EY AI Challenge | Ernst & Young LLP (EY)
Machine Learning Merit Prize – NTT DATA | NTT DATA
January 2024 - Present
Exploring Natural Language Processing (NLP), classic ML algorithms, and LLMs for practical applications, including classification, text analysis, and predictive modeling. Built multiple data analysis projects leveraging Python libraries: scikit-learn, TensorFlow, PyTorch, spaCy, Hugging Face, Pandas, NumPy, Matplotlib, Seaborn. Studying mathematical foundations of AI/ML, including linear algebra, probability, and optimization, to strengthen theoretical understanding. Regularly experiment with large language models (GPT, Claude, Gemini, etc.) and evaluate their performance on real-world tasks. Developed automation systems with n8n, integrating APIs, databases, and workflow logic for real-world tasks. Created chatbots and AI assistants for data extraction, customer support, and task automation.
June 2025 - June 2025
Built a CRM system linked to a recommendation engine that suggests nearby events in real time. Integrated ETL pipelines with APIs and a Neo4j graph database, creating structured knowledge graphs for event discovery. Delivered a working prototype during the hackathon, combining backend logic with intelligent recommendation features.
November 2024 - January 2025
Designed and implemented a Radial Basis Function neural network to identify cancer cases from patient data. Achieved strong predictive performance and presented the project at NTT DATA’s Machine Learning Merit Prize, where it was selected as a finalist pitch and awarded recognition. Gained expertise in model evaluation, threshold tuning, and applied ML workflows in healthcare data.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluentPortugueseNative speakerRussianNative speaker