Summary
Esther Cardoso is a pragmatic software engineer with 10 years of experience and over five years focused on Python back-end development, building scalable APIs, microservices and serverless systems for high-traffic platforms. She has driven production systems that handle thousands of daily transactions and supported operations for companies generating hundreds of millions in revenue, while also delivering satellite image processing pipelines that produced land cover maps across millions of hectares. Comfortable across AWS and GCP, Django, PostgreSQL/MongoDB and graph databases like Neptune, Esther pairs TDD and Agile discipline with hands-on automation (Docker, Terraform, CI/CD) to reduce errors and accelerate deployments. Notable wins include a serverless Neptune-based monitoring API for Itaú Unibanco with an SDK for easy adoption and a GCP payment-retry system that cut churn from payment failures by 60%. Her work uniquely bridges urban mobility, payments and environmental monitoring, reflecting a blend of product impact and field-oriented remote sensing expertise. She is currently deepening her ML/AI skills through a postgraduate program while continuing to deliver resilient cloud-native backends.
10 years of coding experience
5 years of employment as a software developer
Short-Term Training Program, Management and Monitoring of Farmland, Forest, and Natural Resources Using Remote Sensing Tech, Short-Term Training Program, Management and Monitoring of Farmland, Forest, and Natural Resources Using Remote Sensing Tech at Rakuno Gakuen University
Postgraduate Degree, Artificial Intelligence and Machine Learning, Postgraduate Degree, Artificial Intelligence and Machine Learning at PUC Minas
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal do Pará
Japanese, English, Portuguese