Year
2025
Tech & Technique
Django, PostgreSQL, Redis, Celery, AWS ECS
Description
An intelligent private note application utilizing Facebook's BART-large-mnli model on Amazon SageMaker to automatically classify content sensitivity. The project showcases a robust cloud-native microservices architecture deployed on AWS ECS, utilizing Django, PostgreSQL, Redis, and Celery for asynchronous AI processing.
My Role
Architected the cloud-native infrastructure and integrated Facebook's BART-large-mnli model for classification. Developed asynchronous processing pipelines using Redis and Celery.
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