Description

I help companies turn complex data into actionable insights and intelligent applications by designing scalable pipelines, building robust back-end systems, and integrating AI solutions. With deep expertise in Python, SQL, and modern frameworks like Django, FastAPI, Pytorch, and LangChain, I deliver end-to-end solutions that combine clean architecture with high performance. My experience spans data engineering, AI-powered product development, and full-stack web applications—covering everything from ETL workflows and API integrations to Retrieval-Augmented Generation (RAG) pipelines and ML model feature engineering, training, evaluation, and deployment. I excel in fast-paced, collaborative environments, and my track record includes projects for startups, enterprises, and regulated industries where quality, security, and scalability are paramount.

I have an extensive portfolio on GitHub with samples of my work:

Languages

English
Fluent
Portuguese
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Karakuri Apps
Small Business Owner
February 2019 - Today (7 years and 4 months)
Eindhoven, Netherlands
• I operate my own small company, primarily to generate invoices for my contract roles.

My company is legally registered in the Netherlands and I work with a professional accountant.

My company exists since 2019. I worked with companies based in Austria, U.S.A., Germany, Norway, and France. I worked fully remotely from the Netherlands for every single assignment.

• I provide consultancy services in software development, specializing in fullstack development, data engineering, and machine learning for startups and IT companies. My clients include PolySwarm, Marketer, Silvr, and Finmatics.
Airflow Pandas Pytorch Langchain RAG
ResearchTrend.AI
Senior Data Engineer
March 2025 - August 2025 (5 months)
Berlin, Germany
ResearchTrend.AI is a platform that aggregates the latest AI research papers, fostering community engagement and collaboration.

• Designed and maintained scalable ETL pipelines using Airflow to gather, process, and enrich data on AI research papers from diverse sources, including APIs (OpenReview.net, Arxiv), Google Search API, and web scraping. Utilized Airflow, PostgreSQL, AWS services (S3, AWS Location Service), and GeoPy/Nominatim for geolocation processing.
• Integrated OpenAI and LangChain (chains and agents) for LLM-powered workflows, data extraction and classification.
• Performed feature engineering and trained Machine Learning Models for paper classification using PyTorch and neural network models.

Techstack: Airflow, Python, Postgres, Thirdparty API clients (Arxiv, HuggingFace, OpenReview), Localization Services (AWS Location Service, Nominatim), Machine Learning Classification (PyTorch), HTML Parsing (BeautifulSoup4), LLM's (LangChain, LCEL, Parallel chains).
Langchain
Finmatics
Full-stack Developer
March 2023 - July 2024 (1 year and 4 months)
Vienna, Austria
• Finmatics leverages machine learning (specifically large language models, LLMs) to automate accounting tasks, such as processing paper invoices and predicting missing or ineligible information on invoices.
• Developed fullstack features for the SaaS accounting platform, involving both backend and frontend changes. These features required a comprehensive understanding of the platform to ensure seamless integration across both layers.
• Performed extensive maintenance and defect fixing, addressing numerous issues introduced in previous releases, many of which were unrelated to my direct contributions.
• Skillset: OOP, Python, Django, DRF, FastAPI, AngularJS, NodeJS, Bootstrap, JavaScript, TypeScript, Apex Charts, HTML, CSS, PostgreSQL, Elasticsearch, Kibana, GitLab, Kubernetes, Celery, Redis, Machine Learning, Helm, Kubectl, Jasmine, Pytest, Cypress, OCR, LLMs, NLP, OpenAPI/Swagger.