Summary
Joana Silva is a Data Science Lead with eight years of experience building and deploying AI solutions for industrial applications, most recently directing computer vision and LLM-based document intelligence efforts at Continental and moving to a leadership role at Uphold. She combines deep learning, computer vision, and practical MLOps—Python, PyTorch, YOLO, MLflow and AWS—to deliver defect-detection, OCR and pricing-optimization systems that reduce manual inspection and inform strategic decisions. Her background spans R&D and industry, including a PhD in Biomedical Engineering and earlier work on time-series and wearable-based human movement analysis, which gives her a strong foundation in signal processing and rigorous evaluation. A collaborative leader, she has organized the Porto data-science community, mentored postgraduate teams, and translated prototypes into mobile and production integrations, revealing a knack for turning academic research into operational impact.
8 years of coding experience
12 years of employment as a software developer
Data Analysis and Data Mining Mathematics and Statistics, Data Analysis and Data Mining Mathematics and Statistics at FEP U. Porto – Economics and Management
PhD Biomedical Engineering, PhD Biomedical Engineering at Faculdade de Engenharia da Universidade do Porto
Portuguese, English