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ai-ml · cloud · automation · serverless

LLM Email Interface

Built an email-based interface for LLM interaction using AWS SES for email receiving, OpenAI Assistants API for conversation management, DynamoDB for state, and S3 for attachment storage. Implemented CloudWatch logging, CloudConvert for file processing, thread management for multi-turn conversations, and an AWS Amplify frontend with social login and custom prompt templates. 572 hours of development, $34,340 project value.

Stack & Architecture

Built with LLM, OpenAI, Python, DynamoDB, AWS S3, AWS Amplify, Lambda. Delivered 2024–2025.

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Outcomes

  • 572 hours of development, $34,340 project value
  • Multi-turn conversation management via email with OpenAI Assistants API
  • Full-stack serverless architecture with SES, Lambda, DynamoDB, S3, Amplify
  • Social login frontend with custom prompt templates
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