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
Available for new projects
GOPAL
Hello.
Full StackAI Developer
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.
gopal/agent.ts
const gopal = createDeveloper({
stack: ["React", "Node", "MongoDB"],
ai: ["RAG", "LLM agents", "vector search"],
ships: async () => {
return "fast, clean & intelligent products";
},
});ReactNext.jsTypeScriptNode.jsMongoDBPostgreSQLSupabaseFirebaseOpenAIClaudeLangChainDockerAWSTailwindGraphQLRedisPythonVercelStripe
What I do
From idea to intelligent product
Three things I do exceptionally well — and the way they combine is where the real value lives.
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
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
Toolbox
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
Selected work
Projects I've built
A mix of real-world MERN applications and AI-powered products — each shipped end to end, from schema to deployment.
AI
Featured project
NeuralDesk — AI Support Agent
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.
−64% first-response time
Next.jsNodeSupabaseLangChainOpenAI
How I work
A calm, deliberate process
No chaos, no surprises — a clear path from first conversation to a launched, maintainable product.
01
Discover
Understand the goal, users and constraints. Define what success actually looks like.
02
Architect
Design the data model, API surface and UX — choosing tools that fit, not trends.
03
Build
Ship in tight iterations with clean, typed, tested code you can hand to anyone.
04
Launch
Optimise, deploy and monitor — sub-second loads, observability and a smooth handoff.
About me
Engineering products that are fast, clean & smart
I'm a full-stack developerfluent across the React & Node ecosystem, with a deep focus on applied AI. 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.
0+
Years building
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Projects shipped
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AI integrations
0%
Lighthouse scores
End-to-end ownership
From database schema to production deployPerformance obsessed
Sub-second loads, optimized queries & cachingAI-native mindset
LLMs, RAG & ML woven into real productsKind words
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.”
“One of the rare engineers who's equally strong on the backend, the model layer and the pixels. Our dashboard has never been this fast.”
“He owns problems end to end. We handed him an ambiguous spec and got back a production-ready, well-documented system. Would hire again instantly.”
Get in touch
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.
xtocodex@gmail.com
Remote · Available worldwide