Gopal
Full Stack & AI Developer

Available for new projects

Ihelpteamsship productsthat actuallythink.

I build production-grade web apps on the Supabase · MongoDB · Express · React · Next.js · Node stack, engineered with AI, LLMs and RAG pipelines to ship products that actually think.

ProjectsI'vebuilt

A mix of real-world MERN applications and AI-powered products, each shipped end to end, from schema to deployment.

Showing 6 of 6 projects.

AIFeatured project

NeuralDesk

AI Support Agent

−64% first-response time

A RAG-powered customer-support assistant that ingests docs & tickets into a vector store and answers with cited sources, cutting first-response time dramatically while keeping a human in the loop.

  • Next.js
  • Node
  • Supabase
  • LangChain
  • OpenAI
AI

DocuMind

Chat with PDFs

Cited answers in <2s

Upload any document set and query it in natural language. Streaming responses, semantic search and per-chunk citations with an embedded vector pipeline.

  • React
  • Express
  • MongoDB
  • Claude
  • pgvector
AI

CopyForge

AI Content Studio

10k+ generations / mo

A multi-template generator for marketing copy with tone controls, brand memory and a credit-based billing system handling thousands of monthly generations.

  • Next.js
  • Node
  • OpenAI
  • Stripe
  • Redis
MERN

TaskHive

Team Workspace

Live multi-user sync

Real-time project management with boards, role-based access, activity feeds and live collaboration over WebSockets. Used by remote teams to track sprints.

  • React
  • Firebase
  • MongoDB
  • Socket.IO
  • JWT
MERN

Kartly

E-Commerce Platform

Sub-second browsing

Full storefront with cart, Stripe checkout, order tracking and an admin dashboard for inventory and analytics. Optimized for sub-second product browsing.

  • React
  • Node
  • MongoDB
  • Stripe
  • Redux
AI + MERN

InsightIQ

Analytics + AI Summaries

Auto exec summaries

A dashboard that turns raw product metrics into plain-English narratives. Charts, anomaly detection and an LLM that writes the weekly exec summary automatically.

  • React
  • Express
  • MongoDB
  • OpenAI
  • Recharts

Fromideatointelligentproduct

Three things I do exceptionally well, and the way they combine is where the real value lives.

  1. Full-Stack Engineering

    End-to-end full-stack applications, from data model to a polished, accessible interface.

    • React / Next.js frontends
    • Typed, testable codebases
    • Pixel-perfect, responsive UI
  2. Applied AI & LLMs

    Intelligent features that ship: RAG pipelines, agents and assistants wired into real products.

    • RAG & vector search
    • LLM agents & tool use
    • Streaming, cited responses
  3. Scalable Backends

    APIs and infrastructure built to stay fast and reliable as traffic and data grow.

    • REST / GraphQL APIs
    • Auth, caching & queues
    • Cloud deploy & CI/CD

Ways to work together

Project

A defined product or feature, built end to end and handed over ready to run.

  • Scope, architecture and milestones agreed up front
  • Weekly demos on a staging URL
  • Deployment, docs and a clean handover

Monthly retainer

Ongoing product work for a team that needs a senior engineer without a full-time hire.

  • A reserved block of hours every month
  • Features, fixes and performance work
  • Priority response on your channels

AI & architecture review

A focused look at an existing app or AI feature before you invest more in it.

  • Codebase, data model and RAG or agent review
  • Written findings ranked by impact
  • A walkthrough call and a concrete plan
Start a project

Not sure which fits? Describe the goal and I'll suggest one.

Acalm,deliberateprocess

No chaos, no surprises: a clear path from first conversation to a launched, maintainable product.

  1. 01

    Discover

    Understand the goal, users and constraints. Define what success actually looks like.

  2. 02

    Architect

    Design the data model, API surface and UX, choosing tools that fit, not trends.

  3. 03

    Build

    Ship in tight iterations with clean, typed, tested code you can hand to anyone.

  4. 04

    Launch

    Optimise, deploy and monitor: sub-second loads, observability and a smooth handoff.

Engineering products that are fast, clean & smart

I'm a full-stack developer fluent across the React & Node ecosystem, with a deep focus on applied AI.

Gopal Krishna Mohapatra

Full Stack & AI Developer

Works
Remote · Available worldwide

Over the last five years I've taken products from a blank repo to thousands of users, owning the architecture, the API design, the interface, and the deployment pipeline.

My sweet spot is the intersection of solid engineering and machine intelligence: building RAG systems, integrating LLMs responsibly, and shipping interfaces that feel effortless. I care about clean abstractions, accessibility, and code the next developer can actually read.

When I'm not shipping, I'm experimenting with new model architectures, contributing to open source, and writing about the practical side of building with AI.

Years building
5+
Projects shipped
30+
AI integrations
12+
Lighthouse scores
99%
  • End-to-end ownership

    From database schema to production deploy

  • Performance obsessed

    Sub-second loads, optimized queries & caching

  • AI-native mindset

    LLMs, RAG & ML woven into real products

What people I've worked with say

A few notes from founders and teams I've built with.

“Gopal took our AI support idea from a vague brief to a shipped RAG agent in three weeks. Clean code, sharp UI, and he actually understood the product.”
PMPriya MenonVP Engineering, SaaS startup
01 / 03

Technologies I work with

A full-stack, AI-augmented toolkit: from pixel-perfect interfaces to scalable APIs and intelligent model pipelines.

Frontend
ReactNext.jsTypeScriptRedux ToolkitReact QueryTailwind CSSFramer MotionZustandViteshadcn/uiHTML5SCSS
Backend
Node.jsExpressMongoDBMongoosePostgreSQLPrismaSupabaseFirebaseREST APIsGraphQLJWT / OAuthSocket.IORedisNginx
AI / ML
OpenAI APIAnthropic ClaudeLangChainRAGPineconeVector DBsHugging FacePyTorchTensorFlowWhisperLangGraphPython
DevOps & Cloud
DockerAWSVercelGitHub ActionsCI/CDCloudflareServerlessLinux
Languages
JavaScriptTypeScriptPythonSQLBash
Tools & Testing
GitJestVitestPlaywrightPostmanFigmaJiraStripe
gopal/agent.tstypescript
1const gopal = createDeveloper({2  stack: ["React", "Node", "MongoDB"],3  ai: ["RAG", "LLM agents", "vector search"],4  ships: async () => {5    return "fast, clean & intelligent products";6  },7});

Questions clients ask

How does a project start?

With a short call about the goal, users and constraints. I follow up with a written scope, milestones and an estimate, and we start once you are happy with it.

What do you need from me?

A clear owner on your side, access to any existing code or accounts, and time for a short review at each milestone. I handle the rest.

Do you work with teams in other time zones?

Yes. I work remotely and keep a regular overlap window for calls, with async updates in between so work keeps moving.

Will you sign an NDA?

Yes. Send it over before we go into the details of your product.

Who owns the code?

You do. Code lives in your repository from day one and everything is documented so any developer can pick it up.

What happens after launch?

I monitor the release, fix anything that comes up, and hand over. If you want ongoing work, a monthly retainer keeps me on the product.

Let's build something intelligent

Have a project, a role, or just an idea worth exploring? Drop me a message. I usually reply within a day.

Remote · Available worldwide

Your details are only used to reply. No spam, ever.