ArchivedFull-stack
Redacta
AI-powered document redaction platform
Tech stack
- Java
- Spring Boot
- LangChain
- React
- TypeScript
- Kubernetes
- Helm
- AWS CI/CD
Status
Archived
Overview
Redacta tackles the tedious, error-prone task of manually redacting personally identifiable information from documents. Users upload files through a React/TypeScript front-end; a Spring Boot back-end orchestrates a LangChain-powered LLM pipeline that detects and anonymises names, addresses, and other PII in seconds. The platform is packaged with Helm charts and deployed on a Rancher-managed Kubernetes cluster with an AWS-based CI/CD pipeline (CodePipeline + ECR). I built the back-end API, integrated the LangChain pipeline, wrote Helm charts for multi-environment deployment, and contributed to the React UI.
What it achieves
- 1Automated PII detection and anonymization
- 2LLM-powered intelligent document processing
- 3Cloud-native deployment on Rancher
Features
- LangChain-based PII detection pipeline with configurable entity types
- Batch upload and processing of PDF, DOCX, and plain-text files
- Audit trail and versioned redaction history
Challenges
- Fine-tuning LLM prompts for high-recall PII detection across document formats
- Designing a Helm chart that works across dev, staging, and production Kubernetes namespaces
- Managing large file uploads and streaming responses between front-end and back-end