I’m a Senior Full-Stack & AI Engineer from Pakistan with a background in Mathematics and Economics. That combination shapes how I work: I enjoy turning messy business problems into systems that are logical, useful, and built to last.
My work sits at the intersection of AI, distributed systems, cloud architecture, and product engineering.
Currently, I’m building:
- ADAPT AI — enterprise procurement intelligence using vector search, fuzzy matching, LLM-powered analysis, and scalable Azure microservices.
- Quplex — an AI-native quality management platform designed to make compliance genuinely useful for growing companies.
- ArchWalk — a collaborative 3D experience platform for architects and interior designers.
- Nisa ERP — a first of its kind AI driven healthcare ERP system that helped move a hospital’s compliance score from 52% to 93% in a small scale hospital without increasing employee count.
I’ve also built platforms serving 10,000+ daily users, donation products reaching 20,000+ monthly users, and data pipelines capable of processing millions of records.
My everyday toolbox includes TypeScript, Python, React, Next.js, NestJS, PostgreSQL, Redis, Docker, Azure, AWS, Terraform, vector databases, and LLM systems.
But technologies are only tools. What I really enjoy is understanding a difficult domain, finding where time or money is being wasted, and building something that meaningfully improves it.
while (problem.isInteresting()) {
understandTheDomain();
designTheSystem();
build();
measure();
improve();
ship();
}- I taught myself software engineering after studying Mathematics and Economics.
- I’m unusually interested in healthcare, procurement, compliance, and enterprise workflows.
- I enjoy system design almost as much as building the actual product.
- I’m exploring better ways for humans and AI agents to build production software together.
- If an idea stays in my head long enough, it usually becomes a repository.
Building intelligent products. Documenting what I learn. Open to ambitious engineering problems and global opportunities.


