Abdullah Mughees.AI & Backend Engineer building
RAG, voice agents and document AI.
I build backends and AI systems. Retrieval over large document sets, voice agents that handle live calls, and pipelines that pull structure out of messy documents. Shipped in production for teams in Pakistan, Dubai, the US, the UK and the EU.
- 4
- Years shipping production
- 7,000
- Prospects/month via KodeReach
- $0.06
- Per-minute Sonoria voice calls
- 93%
- Thesis review time cut
From FAST National University to AI running in production.
Nine stops laid out along one street, with the years, the employers and the client reviews attached. You walk it by scrolling.
- 2019FAST National University
- 2022First paid work
- 2023Graduated
- 2023Verticalsols
- 2024IR Studios FFZ LLC
- 2024Pseudobytes
- 2025Neural Lines
- ClientsWhat the clients said
- TodayWhere I am now
Systems shipped to production.
Sonoria: an AI voice assistant and booking platform
A voice AI platform for service businesses. Customers call a number and an AI books, reschedules, cancels and takes payment, with no human on the line. Built on the OpenAI Realtime API, Twilio, Django Channels and Stripe Connect.
- Voice AI
- SaaS
- Django
- Twilio
KodeReach: LinkedIn prospecting at scale
A LinkedIn prospecting platform that automates outreach and lead qualification for thousands of prospects a month using Selenium, LangChain agents, and a Chrome extension. Used by 100+ paying clients.
- LangChain
- Automation
- Selenium
- FastAPI
Pace: cutting dissertation review from six hours to 25 minutes
An AI dissertation review platform for universities, built at Industry Rockstar AI. Rubric-anchored scoring on LangChain and GPT-4o with vector search over prior work, cutting review turnaround from roughly 6 hours to 25 minutes.
- LLMs
- Vector Search
- EdTech
- Django
Notes on AI, backends and RAG.
Is an LLM 'intelligent'? How AI differs from a chair or a table
What 'intelligence' and 'understanding' actually mean, where a language model sits between an object and a mind, and why the line matters if you build with these systems.
- AI
- LLMs
- Concepts
How FastAPI actually works: ASGI, async and dependency injection
The ASGI contract that replaced WSGI, how the event loop turns async def into concurrency, and how Starlette, Pydantic and dependency injection fit together over the life of a request.
- FastAPI
- Python
- Backend
Llama 3 70B vs Claude: how to choose an LLM for your product
How to choose between an open-weights model you host yourself and a hosted frontier model. Quality, latency, cost at scale, privacy, and the operational work that rarely makes the pitch deck.
- LLMs
- Architecture
- Cost
Building with Claude and Cursor: an AI engineer's workflow
How AI coding tools fit into my day: where they save time, where they cost it, and the habits around context, prompting and review that decide which one you get.
- Tools
- AI
- Workflow