Summary
Cindy Barrientos is a Generative AI Engineer with 8 years of experience applying data-driven storytelling to business and scientific problems, blending a background in neuroscience and wet-lab biology with practical ML and cloud engineering. She specializes in Python-driven NLP and sentiment analysis—currently building churn-prediction models and end-user sentiment trackers—and has productionized document processing and predictive maintenance solutions on AWS. Cindy has shipped solutions spanning data lakes, automated reporting, and microservices using SageMaker, Comprehend, Step Functions and API Gateway, and she’s comfortable presenting technical offerings to clients and partners. Her work also crosses into computer vision, having applied CNNs to satellite image detection, and she frequently automates analysis pipelines with templating and statistical testing. Colleagues rely on her for translating complex domain experiments into reproducible, scalable systems that improve customer experience and operational insight. Based in Vancouver, WA, she thrives in hybrid roles that mix autonomous technical execution with collaborative client-facing responsibilities.
8 years of coding experience
9 years of employment as a software developer
University of California, San Diego
English, Spanish