An AI-powered SaaS that automates the busywork
Built a Generative-AI SaaS product that automated 60%+ of manual workflows using OpenAI, RAG, and a cloud-native backend.
RoleSenior Software Engineer & Technical Lead
Year2024
StackOpenAI · RAG · Node.js · Python · AWS · PostgreSQL
60%+Workflows automated
Multi-LLMOpenAI · Gemini · HF
RAGGrounded answers
The challenge
- Teams were drowning in repetitive, manual knowledge work that didn't scale with headcount.
- Off-the-shelf AI tools hallucinated and couldn't be trusted with real business context.
The approach
- Designed a Retrieval-Augmented Generation pipeline so answers were grounded in the customer's own data.
- Integrated multiple model providers (OpenAI, Gemini, Hugging Face, vLLM) behind a single abstraction for cost and quality control.
- Wrapped it in a production SaaS with auth, billing-ready architecture, and observability.
The outcome
- Automated more than 60% of previously manual workflows.
- Delivered trustworthy, source-grounded AI output instead of generic chatbot guesses.
- Created a repeatable AI product foundation the business could extend to new use cases.