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AVAILABLE FOR FREELANCE

I build agentic AI, RAG chatbots, AI automation, full-stack SaaS and voice agents — production systems, end to end.

Muhammad Mubeen

Full-Stack Agentic AI Engineer. Full-stack web builds, RAG chatbots, custom AI automation and the production systems around them 11 shipped and counting.

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agent.tsTypeScript
1// route the request, then let the graph decide
2const graph = new StateGraph(AgentState)
3  .addNode("retrieve", retrieveContext)
4  .addNode("answer", callModel)
5  .addConditionalEdges("retrieve", needsTool)
6  .compile();
7
8const run = await graph.invoke({ question });
✓ graph compiled · 2 nodes · 1 conditional edge
Selected work

Case studies, not screenshots

Production systems with a problem, a stack and an outcome. Each one links out to the live build.

All projects
Agentic AI2025

EmailManager.ai — AI Email Management Agent

An autonomous agent that triages, drafts and routes an entire inbox.

ViteTypeScriptTailwind CSSNestJS+5
Ed-tech2026

ConceptLens — Developer Learning Platform

A RAG learning platform that explains any developer concept on demand.

Next.js 15SupabaseLangChain.jsGroq openai/gpt-oss-120b+1
RAG2025

CyberKanoon — Pakistani Cybercrime Law Assistant

Grounded legal answers over Pakistan's cybercrime statutes.

Next.js 15LangGraph.jsGroqSupabase+4
SaaS2025

J2X / DealOwl — Private Deals Platform

A private marketplace for off-market deal flow.

ViteReactTypeScriptMUI+3
Stack

What I actually build with

Chosen for boring reliability, not novelty. Every one of these is running in something I shipped.

Frontend

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS
  • React Query
  • Framer Motion

Backend

  • NestJS
  • Node.js
  • Express
  • PostgreSQL
  • Drizzle ORM
  • Supabase

AI

  • LangGraph
  • LangChain.js
  • RAG Pipelines
  • pgvector
  • Groq
  • Voice AI

Infra

  • Vercel
  • Inngest
  • Docker
  • GitHub Actions
11Shipped projects
6Categories
4+Years building
<24hResponse time
Services

Four ways I can help

Fixed-scope builds, retainers, or an audit of an AI feature that isn't performing.

Agentic systems

01

LangGraph agents that plan, call tools and hand off — with guardrails, retries and human review where it matters.

  • LangGraph orchestration
  • Tool calling
  • Evaluation harness

RAG pipelines

02

Retrieval grounded in your data: chunking, embeddings, pgvector search and answers that decline instead of inventing.

  • pgvector + HNSW
  • Hybrid retrieval
  • Citation-backed answers

Voice AI

03

Low-latency speech agents for support and intake — streaming STT, barge-in, and a transcript your team can audit.

  • Streaming STT/TTS
  • Barge-in handling
  • Call transcripts

SaaS builds

04

The whole product around the model: Next.js or NestJS, Postgres, auth, billing, background jobs, deployed and monitored.

  • Next.js / NestJS
  • Postgres + Drizzle
  • Vercel deploys

Let’s talk

Have an AI feature that needs to actually ship?

Tell me the problem and I’ll tell you whether an agent is the right answer. Or ask my digital twin in the corner — it knows my work.

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