Enhance SynapseIQ AI Knowledge Platform

I need a seasoned full-stack developer who can dive straight into SynapseIQ’s codebase and raise the quality bar, starting with our document-processing pipeline. The stack is React + TypeScript on the front end and Node.js/Express with SQLite and the OpenAI API on the back. Everything sits behind a multi-tenant architecture with authentication, role-based permissions, semantic search and RAG already in place.

First priority is a thorough review of the existing platform, then a concerted push to modernise document processing. I want noticeably higher data-extraction accuracy, faster throughput and support for additional file formats without breaking what’s already live. While doing so, keep an eye on AI/RAG optimisation, code cleanliness and production-readiness in general.

Key deliverables I will use to sign off the work:
• A concise code-review report highlighting current bottlenecks and proposed fixes.
• Refactored document-processing modules that benchmark faster and extract entities more accurately across at least three new document types we define together.
• Updated automated tests and performance metrics showing the gains.

You’ll collaborate directly with me on GitHub, ship incremental PRs, and document any architectural decisions so they’re easy for the wider engineering team to maintain. If you thrive in TypeScript, love optimising AI workflows and enjoy making complex platforms production-ready, let’s talk.