Résumé / working profileHelena
Borges.
AI Engineer with 6+ years of experience across LLM applications, RAG systems, intelligent agents, machine learning, Python and cloud-native data engineering. Brazilian, based in Bologna, Italy.
01Now
Projects, experiments & collaborations
Independent AI Engineer
Exploring useful applications of generative AI, intelligent agents and evaluation—with a bias toward systems that are understandable, testable and genuinely helpful.
- Building reusable evaluation patterns for agentic workflows
- Developing small, thoughtful AI products from idea to working prototype
0212/2025 – 05/2026
Lamborghini · Sant'Agata Bolognese, Italy
AI & Analytics Intern
Applied machine learning and AI-agent workflows to carbon-fiber manufacturing processes, connecting analysis with practical decision support.
- Developed Scikit-learn models that reduced root-cause analysis time by 30%
- Built AI-agent workflows and a real-time KPI dashboard for manufacturing performance
0307/2025 – 11/2025
Redify · Faenza, Italy
AI Engineer
Designed and delivered Generative AI systems for retail, manufacturing and luxury-industry clients, from retrieval pipelines to production APIs.
- Built RAG systems with embeddings, vector databases, semantic search and prompt grounding
- Developed LangChain and CrewAI agentic workflows and Python/FastAPI microservices
- Integrated OpenAI, Gemini, Llama and Claude with attention to quality, cost and governance
0402/2024 – 05/2025
Greylogix · Florianópolis, Brazil (remote)
Data Engineer
Worked on cloud-native data platforms, real-time sensor pipelines and operational dashboards for data-driven decision-making.
- Processed roughly 500,000 sensor data points per day across InfluxDB, SQL and Google Cloud Storage
- Designed 10 interactive Python KPI dashboards
- Built scalable streaming and orchestration workflows with GCP, Docker, MageAI and Kubernetes
0503/2022 – 07/2023
Werkzeugmaschinenlabor (WZL), RWTH Aachen · Aachen, Germany
Software Engineering Assistant
Prepared manufacturing datasets and developed algorithms for simulation and predictive-maintenance use cases.
- Created Python interpolation and extrapolation algorithms to reconstruct incomplete measurements
- Validated manufacturing tests with Tooth Contact Analysis software
0607/2021 – 12/2021
Portal Telemedicina · Florianópolis, Brazil
Python Specialist Intern
Developed Python services and document-processing pipelines for healthcare AI and data-science workflows on Microsoft Azure.
- Built pipelines to extract, clean and transform structured and unstructured medical information
- Created automated tests to support data quality and healthcare compliance
0703/2020 – 06/2021
Applied Robotics Laboratory · Florianópolis, Brazil
ML Research Assistant (CV & Robotics)
Researched computer-vision and machine-learning methods for robotic inspection of power-distribution components.
- Developed TensorFlow and Scikit-learn models to detect high-temperature anomalies in component images
- Used OpenCV and Scikit-image to improve detection performance
- Deployed reproducible models with FastAPI, Docker and GCP