---
title: "Services"
description: "3 layers of work, with the projects behind each."
url: https://riteshkc.com.np/services
source: https://riteshkc.com.np/services.md
site: "Ritesh KC"
---
# Services

What Ritesh KC is hired to build, in three layers. Most projects need parts of all three. Each
entry links to its own page, which names the shipped projects behind it.

## Product interfaces

Next.js and React developer for dashboards, admin panels and internal tools

- Layer: 01 / interface
- Builds: dashboards, admin panels, customer portals, data-heavy tables, AI product interfaces, onboarding flows, design systems, marketing sites
- Tools: Next.js, React, TypeScript, Tailwind CSS, React Query, Node.js, Core Web Vitals
- Page: https://riteshkc.com.np/services/product-interfaces (markdown: https://riteshkc.com.np/services/product-interfaces.md)

The screens your customers and your team use all day. React, Next.js and TypeScript, built so the fortieth click is as fast as the first.

## The system under it

Multi-tenant SaaS developer: scheduling, bookings, payments and roles

- Layer: 02 / system
- Builds: SaaS platforms, multi-tenant apps, booking systems, APIs, auth and roles, payments and billing, background jobs, third-party integrations
- Tools: NestJS, Node.js, PostgreSQL, Prisma, Redis + BullMQ, AWS
- Page: https://riteshkc.com.np/services/multi-tenant-systems (markdown: https://riteshkc.com.np/services/multi-tenant-systems.md)

The half of your product nobody sees until it breaks. NestJS and PostgreSQL, where the database enforces the rules instead of trusting your code to remember them.

## AI that cites its sources

RAG developer: AI search and extraction over your own documents

- Layer: 03 / retrieval
- Builds: RAG search, document extraction, question answering, hybrid search, ingestion pipelines, AI workflows, evaluation sets, AI in an existing product
- Tools: PostgreSQL, pgvector, Embeddings, Vector search, Document extraction, evals
- Page: https://riteshkc.com.np/services/rag-and-document-ai (markdown: https://riteshkc.com.np/services/rag-and-document-ai.md)

AI that answers from your documents instead of guessing. Every answer shows the document it came from, and "I could not find that" is a real answer with its own path through the code.