Architected and built an AI-powered SaaS product from scratch — handling everything from company formation to full-stack engineering and go-to-market strategy.
Technical Stack
Frontend: React.js / TypeScript
Backend: Python FastAPI
AI Pipeline: RAG (Retrieval-Augmented Generation) using GPT-4o + Qwen3 + pgvector for domain-specific LLM integration
Database: PostgreSQL with pgvector for semantic search
Infrastructure: Docker containerisation, Grafana production monitoring, GitHub Actions CI/CD
Billing: Stripe subscription management
Key Features Built
Multi-tenant architecture with organisation management, team access controls, and role-based permissions
RAG pipeline enabling context-aware AI responses grounded in custom knowledge bases
Stripe billing with subscription tiers and usage-based access controls
Automated CI/CD via GitHub Actions — staging and production deployments on every commit
Production monitoring with Grafana dashboards and automated alerting
Highlights
Built end-to-end as a solo founder engineer — architecture, backend, frontend, DevOps, and product strategy
Implements clean architecture and SOLID principles throughout
Designed for scalability from day one with microservices-ready structure