Full-Stack & AI Systems // 2026 ArchiveFull-Stack & AI // 2026
Pakistan · Remote

ABDULLAH'S
PORTFOLIO

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.

2+ Years Prod/15+ Shipped/<1s Stream Latency
SpecializationFull Stack · Real-Time AI Systems
Scroll
StatusAvailable for select projects
Worked with · Production systems & client platforms
The Soft Biz/ AI Interview Platform
MEET-AI/ Real-Time AI Voice & Video
PakTechJobs/ Tech Talent Marketplace
Fraviont Store/ Luxury E-Commerce
Digivixo/ Accounting AI SaaS
OpenAI Realtime/ Sub-Second Agent Streaming
Stream Video SDK/ Global Transport Pipeline
Inngest Workers/ Decoupled Webhooks
The Soft Biz/ AI Interview Platform
MEET-AI/ Real-Time AI Voice & Video
PakTechJobs/ Tech Talent Marketplace
Fraviont Store/ Luxury E-Commerce
Digivixo/ Accounting AI SaaS
OpenAI Realtime/ Sub-Second Agent Streaming
Stream Video SDK/ Global Transport Pipeline
Inngest Workers/ Decoupled Webhooks
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.

Interface11 Tools

60 FPS interfaces with GSAP motion, design tokens, and strict type safety.

Front
end

  • React
  • Next.js
  • TypeScript
  • JavaScript (ES6+)
  • Tailwind CSS
  • GSAP
  • shadcn/ui
  • Framer Motion
  • Three.js
  • React Hook Form
  • Zod
Data13 Tools

High-throughput schemas, tRPC contract safety, connection pools, and Redis caching.

Backend
& data

  • Node.js
  • Express.js
  • REST APIs
  • tRPC
  • JWT
  • Drizzle ORM
  • PostgreSQL (NeonDB)
  • Prisma
  • Supabase
  • MongoDB
  • Redis
  • TanStack React Query v5
  • AWS (S3, Cognito)
Live8 Tools

Sub-second WebRTC pipelines, OpenAI Realtime agent streaming, and multi-instance WebSockets.

Realtime
& AI

  • OpenAI Realtime API
  • WebRTC
  • Socket.io
  • Stream SDK
  • LiveKit
  • Groq (Llama 3.3)
  • Vapi
  • Retell AI
Infra9 Tools

Decoupled webhook ingestion with Inngest job queues, QStash tasks, and Docker containers.

Async
& infra

  • Inngest
  • QStash
  • Docker
  • Vercel
  • Git
  • GitHub
  • Bitbucket Pipelines (CI/CD)
  • Postman
  • Figma

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.

Selected work

Five flagship builds · 2024 — 2026
MEET-AI — SaaS Product
PublicLive

MEET-AI

SaaS Product

Webhook-driven architecture — Stream webhooks trigger all real-time events. Async transcript summarization decoupled from webhook response via Inngest job queue.

  • Next.js
  • tRPC
  • Drizzle ORM
  • Neon PostgreSQL
  • Stream Video/Chat SDK
  • OpenAI Realtime API
PakTechJobs — Marketplace Platform
PublicLive

PakTechJobs

Marketplace Platform

Custom HTTP server with Socket.io + Redis adapter enabling multi-instance WebSocket scaling. Dual deployment config — Vercel and Fly.io via Docker.

  • Next.js
  • Prisma
  • PostgreSQL
  • Socket.io
  • Redis
  • NextAuth
Fraviont Store — Client Project — E-Commerce Platform
Confidential / NDA

Fraviont Store

Client Project — E-Commerce Platform

Redis-backed caching and rate limiting. QStash for serverless async job queuing. Single-session enforcement for admin accounts.

  • Next.js
  • tRPC
  • Drizzle ORM
  • Neon PostgreSQL
  • Upstash Redis
  • Upstash QStash
Digivixo — Client Project — Product Marketing Site
PublicLive

Digivixo

Client Project — Product Marketing Site

Live client product currently selling $1,500–$2,200/month plans to real customers.

  • Next.js
  • GSAP
  • Tailwind CSS
  • TypeScript
The Soft Biz Project — Client Project — Full Stack Developer, The Soft Biz
Confidential / NDA

The Soft Biz Project

Client Project — Full Stack Developer, The Soft Biz

Client and product name withheld under NDA — complete solo backend build.

  • Node.js
  • tRPC
  • Drizzle ORM
  • PostgreSQL
  • TypeScript

Get in Touch

Let’s Collaborate!

I architect and ship high-performance full-stack applications and real-time AI systems — from sub-second agent streams over WebRTC to distributed background queues. Open to engineering roles, client contracts, and technically ambitious builds (no system is too complex, and no idea is too raw).

Download Resume
Email