Alison De Andrade Carrera is a Senior Data Scientist with 10 years of experience building and productionizing ML systems across recommendation, online optimization and computer vision domains. She has designed and deployed multi-armed bandits, embedding-based recommenders and anti-piracy unsupervised models at scale using AWS, GCP, Databricks and MLOps tooling like Airflow, Vertex AI and SageMaker. Her background blends academic paper implementations with hands-on engineering—creating high-performance ETL for massive meteorological datasets and real-time CDN behavior detectors. Notably, she has moved research into production across major Brazilian tech teams (iFood, Globo, Climatempo) and built facial recognition and metric-learning solutions for crowded environments. Based in Pernambuco, Brazil, she combines deep learning research instincts with pragmatic pipeline and API delivery to solve hard data problems end-to-end.
10 years of coding experience
6 years of employment as a software developer
Bachelor in Computer Science Deep Learning / Machine Learning / Computer Vision / Image Processing, Bachelor in Computer Science Deep Learning / Machine Learning / Computer Vision / Image Processing at Universidade Federal Rural de Pernambuco
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