Full Stack DeveloperPakistan · Remote

Real-timesystemsthat ship.

I build real-time AI systems — agents in live calls, webhook-driven pipelines, async job queues — and ship them to production, not just to a portfolio.

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What I work in

Four stacks,
one engineer

Nothing here is a line on a résumé I have not shipped with. Every tool below appears in at least one project further down the page.

Interface

Front
end

React
Next.js
TypeScript
Tailwind CSS
GSAP

Data

Backend
& data

Node.js
tRPC
Drizzle ORM
PostgreSQL
Prisma
Redis

Live

Realtime
& AI

OpenAI Realtime API
WebRTC
Socket.io
Stream SDK

Infra

Async
& infra

Inngest
QStash
Docker
Vercel

MEET-AI

Real-time AI voice and video call infrastructure. Interactive agents stream into live calls over WebRTC, and every call ends with an AI review of its own transcript.

Webhook
driven

Sub-secondAgent latencyWebRTCCall transportInngestTranscript queue

Shipped,
not staged

Stream webhooks trigger all real-time events. Transcript summarization is decoupled from the webhook response by an Inngest job queue, so the handler returns immediately and the heavy work happens off the request path.

Case 01 — MEET-AI / SaaS ProductFrame 001

How I think about it

I am a full-stack developer specializing in building high-performance systems and interactive digital products. From low-latency AI integrations and real-time WebSocket pipelines to pixel-perfect client interfaces, I construct robust software with React, Next.js, GSAP, and TypeScript.

2+Years building production software

15+Projects built (Client & SaaS)

5Flagship projects shown (Curated depth)

Under the hood

Four decisions worth defending

01MEET-AI

Webhook-driven ingestion

Stream webhooks trigger all real-time events. Post-call transcript summarization is decoupled from the webhook response via an Inngest job queue — the handler acknowledges fast, the AI review runs as a background job.

02PakTechJobs

Realtime that scales sideways

A custom HTTP server running Socket.io with the Redis adapter, so notifications and messaging survive multi-instance scaling instead of breaking the moment a second container starts. Dual deployment config — Vercel and Fly.io via Docker.

03Fraviont Store

Serverless async + caching

Redis-backed caching and rate limiting in front of the database, QStash for serverless async job queuing, and single-session enforcement on admin accounts. Full admin surface: inventory, order pipeline, CRM, financial analytics.

04Digivixo · The Soft Biz

Work that has customers

Digivixo is live and selling $1,500–$2,200/month plans to real accounting firms. The Soft Biz project was a complete solo backend build for an AI-led interview platform — client and product withheld under NDA.