About Me
👋 Hey, I'm Muhammad Haseeb!
I'm an AI & Backend Engineer from Islamabad, Pakistan. I spend most of my time building production Generative AI systems — the kind that handle real enterprise data, real users, and real business pressure. Not demos. Not prototypes. Systems that actually ship.
By day, I work at Stixor Technologies where I've designed and deployed AI systems across legal tech, oil & gas, and SaaS. Here's a quick snapshot of what that looks like in practice:
I built an Agentic RAG legal assistant for a Saudi legaltech startup, it hit 98% retrieval accuracy on Saudi regulations and directly contributed to $600K in pre-seed funding. I designed an enterprise document intelligence system for a major petroleum company that processes 300+ GB of unstructured data across PDFs, Word files, Excel, PowerPoint, and SAP records. Engineers went from spending hours hunting through documents to getting verified, source-cited answers in seconds. I've also architected a multi-tenant AI SaaS platform with full RBAC and hybrid retrieval, and I'm currently building a real-time Voice AI agent using LiveKit with RAG-backed responses.
I hold a BS in Software Engineering from CUSIT Peshawar (2024). My Final Year Project, Urdu Text Sentiment Analysis, achieved a 96% F1-Score using a hybrid deep learning architecture. I've also co-authored a paper published in the Journal on Artificial Intelligence (2024).
Beyond the work, I care a lot about the community I came up in.
As ML/DL Track Lead at Bytewise Limited, I mentored 30 learners through a structured deep learning program formers and deployment workflows. As Campus Lead for GDSC, selected as one of 76 leads nationwide, I organized 35+ events that reached 9,000+ people and ran 35+ one-on-one mentorship sessions. I still serve as Outreach Lead for GDG Peshawar, where I've helped bring 1,300+ people into the local developer community.
Helping someone go from confused to confident in AI is something I genuinely enjoy. If that's where you are right now, I'm happy to help.
Why this blog?
I started writing here because I kept running into the same problem: most AI content online is either too shallow or too academic. It doesn't tell you why your RAG pipeline works in testing but breaks in production. It doesn't tell you which chunking strategy actually held up on 6,000-page documents. It doesn't tell you what you'd do differently in hindsight.
That's what I want to write about. Real lessons, real systems, real tradeoffs.
If you're building in AI or trying to break into the field I hope something here saves you a few hours of pain.
Let's Work Together
I'm available for freelance AI engineering projects, from RAG system architecture and AI chatbot development to full AI SaaS platforms.