Question 1

What is your specialty as a developer?

Accepted Answer

I specialize in AI-Powered Full Stack Development, particularly building production-ready SaaS platforms using Next.js, the MERN stack, and integrating generative AI features like RAG pipelines and AI Agents.

Question 2

What technologies do you use for full-stack web development?

Accepted Answer

My primary tech stack includes Next.js, React, Node.js, and TypeScript. For databases and infrastructure, I utilize MongoDB, MySQL, Redis, and Docker to ensure scalable and high-performance applications.

Question 3

How do you integrate Artificial Intelligence into web applications?

Accepted Answer

I leverage large language models (LLMs) via the OpenAI API, orchestrate workflows using LangChain, and implement advanced retrieval systems like Vectorless RAG and Vector Databases (Supabase, Pinecone) for intelligent document processing and semantic search.

Question 4

Do you have experience building monetized SaaS products?

Accepted Answer

Yes, I have built multiple end-to-end SaaS platforms. For example, AI Dish Wala includes Stripe subscription integrations, credit-based usage models, multi-tenant databases, and comprehensive admin analytics dashboards.

Question 5

Are you available for freelance Next.js projects or remote work?

Accepted Answer

Absolutely. I am available for remote opportunities globally, including freelance projects, contract roles, and full-time positions. I actively work with international clients using asynchronous collaboration tools.

Question 6

What is Vectorless RAG and why do you use it?

Accepted Answer

Vectorless RAG is an architecture that relies on intelligent indexing (like PageIndex) and BM25 scoring instead of expensive vector embeddings. I use it for technical domains because it provides better keyword precision, full query explainability, and significantly lower usage costs.