SDE 3 · CAW · OPEN TO ROLES
04 — AI LAB

Where I'm pointed next.

“Currently exploring how AI can merge with frontend to create delightful experiences.” That line from my profile is the work — here's what it looks like.

PRINCIPLE

The UI is the prompt.

Every click, scroll and dwell is signal. A good AI-native interface uses that signal to compress steps — not to bolt a chatbot onto a finished screen. I'm building toward product surfaces where intelligence is ambient, not a separate tab.

Claude, MCP and n8n are the trio I'm betting on — reasoning, tools, and orchestration. The future is agentic, and the front-end is the surface where it lands.— Hemant
01
Claude-powered product surfaces

Using Claude as the reasoning layer for AI-assisted UX — smart defaults, inline suggestions, adaptive empty states. Not a chat tab; an ambient layer.

02
MCP servers as first-class tools

Building custom Model Context Protocol servers that expose real tools and data to LLMs — the foundation of every reliable agent I'm shipping.

03
Agentic workflows with n8n

n8n is my agent orchestrator — chaining LLM calls, tools and human-in-the-loop steps into workflows that actually run. Hosted in my homelab.

TOOLBOX

My stack, by layer.

Frontend

// surface · interactions
React.jsexpert
Next.jsexpert
Tailwind CSSexpert
TypeScriptstrong
HTML5 · CSSexpert

Backend

// services · contracts
Node · Expressstrong
Django Adminworking
Docker · Portainerstrong
REST endpointsexpert
.NET Frameworkworking

DevOps / QA

// reliability · velocity
GitLab CIexpert
Google Cloudstrong
Playwrightstrong
Jest · RTLexpert
Storybook · PWAstrong

AI Layer

// next frontier
Claude (Anthropic)top skill
MCP serversstrong
n8n · Agenticstrong
OpenAI Codextop skill
Prompt · GenAIstrong