LMS (LearnHouse-based) — Frontend, Backend & Deployment

Project Overview We are building an Arabic-first (RTL) online learning platform. The core is built on top of LearnHouse https://github.com/learnhouse/learnhouse , a modern open-source LMS. We now need a capable development partner to extend it into a production-grade product and own its deployment. We are specifically looking for an established company/agency, not an individual, because the scope spans frontend, backend, and DevOps/deployment and will run for several months. Current Stack (you must be fluent in all of this) Frontend: Next.js (App Router, output: standalone), React, TypeScript, Tailwind CSS, shadcn/ui Backend: Python, FastAPI, SQLModel, Alembic migrations Database: PostgreSQL with pgvector (vector embeddings for AI search) Realtime/Collab: Yjs / Hocuspocus (websocket-based collaborative editing) AI: OpenAI integration (chat + embeddings) Infra: Docker / docker-compose, nginx, pm2, Redis i18n: Full Arabic RTL + English LTR support What We Need Feature development on top of the existing codebase — new modules, custom flows, and UI work (we will share a detailed roadmap with the selected partner). Backend/API work — FastAPI endpoints, data modeling, migrations, and AI features grounded on course content. Arabic-first UX — flawless RTL rendering, Arabic typography, and bilingual content. Deployment & DevOps — production deployment (cloud hosting, CI/CD, monitoring, backups), scaling, and ongoing maintenance. Required Qualifications Proven agency experience with Next.js + FastAPI + PostgreSQL production apps (please share portfolio links). Experience forking and extending an existing open-source codebase (not just greenfield builds). Strong Docker / deployment track record (AWS, GCP, Railway, Render, or similar). Arabic-language / RTL product experience is a strong plus. A team that can cover frontend, backend, and infra concurrently. Nice to Have Prior LMS or EdTech experience. AI/RAG (retrieval-augmented generation), pgvector, or LLM integration experience. To Apply (please include) A short note on how you would approach extending an existing Next.js + FastAPI codebase (not generic copy-paste proposals). 2–3 relevant case studies with live links and your specific role. Your team composition (who does FE / BE / DevOps) and team size. Your availability and typical engagement model (dedicated team, retainer, fixed-bid). Confirmation you've read this post — start your reply with the word "Athar" so we know.