
RAGIQ
Document-based AI knowledge assistant that allows users to upload documents and interact with their knowledge through an intelligent chat interface.
- Next.js
- NestJS
- PostgreSQL
- pgvector
- LLMs
- RAG
Available for selected projects
Remote · Worldwide

ABHISHEK PANDEY
FULL-STACK × AI
Full-Stack & AI Product Engineer helping founders and product teams ship idea → architecture → deployment.
20+ products shipped · clients across the US, UK, Canada & Dubai
I work across product design, frontend, backend, databases, AI and infrastructure — which means an idea doesn't have to pass through five different teams before becoming real.
Six overlapping disciplines. Most projects need four of them at once — that overlap is the whole point.
Design and build complete web products from idea to production.
Modern frontend and backend systems using React, Next.js, Node.js and NestJS.
RAG systems, AI assistants, AI automation, LLM integrations and intelligent workflows.
Architecture, authentication, dashboards, billing, APIs and scalable infrastructure.
REST APIs, PostgreSQL, MongoDB, Redis, queues, background workers and real-time systems.
Docker, VPS, Nginx, PM2, Kubernetes/K3s and production deployments.
Real products — shipped, deployed and running. Each one has a case study covering architecture, decisions and what broke first.

Document-based AI knowledge assistant that allows users to upload documents and interact with their knowledge through an intelligent chat interface.

AI-powered review and reputation management platform designed to help businesses collect reviews, route private feedback and monitor reputation.

Auction platform with authentication, bidding workflows, private/public routes and real-time interactions.

A developer-focused platform for APIs and renovation/product workflows.

An experimental AI system that analyzes long-form video and attempts to identify moments with high viral potential.
Hover a technology to see what I use it for.
Frontend
Backend
Database
AI
Infrastructure
The same five moves on every project, whether it's a two-week MVP or a long-running platform.
Understand the problem.
Architecture, product flow and technical decisions.
Frontend + backend + AI + database.
Deploy, monitor and optimize.
Improve based on real usage.
One person. Product thinking. Engineering depth. AI-native workflows.
No handoff between design, backend and infrastructure — the same person owns the decision and the deployment.

Full-Stack & AI Engineer
Abhishek Pandey
I'm a Full-Stack Engineer focused on building web products, SaaS platforms and AI-powered applications. I enjoy taking ambiguous ideas, breaking them into systems and turning them into something real.
Scope and cost depend entirely on the problem. Tell me what you're building and I'll tell you what it takes.
You have an idea and need a real, usable product instead of a deck.
Included
Deliverables
You need multi-user software with accounts, plans and dashboards.
Included
Deliverables
You want AI that actually does something useful in your product.
Included
Deliverables
Your team runs the business on spreadsheets and manual steps.
Included
Deliverables
Repetitive work is consuming hours that should not exist.
Included
Deliverables
You need a backend that other systems can build on.
Included
Deliverables
The product works but it is slow, fragile or hard to change.
Included
Deliverables
You have a live product and want AI added without breaking it.
Included
Deliverables
Have a product idea, an existing application that needs improvement, or an AI workflow that should exist?
Available for selected projects