Most devs make it work. I make it feel right.
I came to engineering through the back door: premedical student, self-taught across multiple domains, then dropped into production systems with real constraints.
That path is why I build differently.
I work across full-stack, mobile, and AI systems, usually in environments where the real job is not just writing code, but making the product hold together under ambiguity, changing scope, operational pressure, and live user needs.
| Location | Pakistan (Remote Ready) |
| Experience | Full-Stack / Mobile / AI |
| Primary Stack | React Native · Node.js · AWS |
| AI Systems | LangGraph · RAG · Context Engineering |
| Domain | Healthcare / Clinical Workflows |
A high-stakes clinical AI platform built for real medical workflows, not generic chat. I led engineering across backend architecture, mobile delivery, infrastructure transitions, and the design of the encounter workflow.
A full-stack administrative platform with complex fee logic, multi-role workflows, and production constraints that required strong system design, not just feature delivery.
A one-month build of dashboard foundation, backend systems, data structure, and marketing site, delivered as a working product base for continued development.
- I optimize for products that feel coherent, not just functional.
- I make technical decisions based on product needs, not familiarity.
- I care about code quality, architectural clarity, and shipping under real constraints.
- I work best where ownership matters and ambiguity is part of the job.
| Domain | Technologies |
|---|---|
| Frontend | Next.js, React, Zustand, Mantine UI, Tailwind CSS |
| Mobile | React Native, Expo, RevenueCat, Firebase |
| Backend | Node.js, Express, Python, FastAPI, Serverless |
| Database | PostgreSQL, MongoDB, Redis, SQLite |
| DevOps | Docker, AWS, EC2, S3, ECR, Nginx, GitHub Actions |
| AI / ML | RAG, OpenAI SDK, Gemini SDK, Pandas |



