I build web applications — and the AI that goes inside them

Most products are built by a frontend team, wired up by a backend team, and handed to someone else for the AI part. Every handoff loses something.

I work across all of it. At Cross Media Sole I develop and maintain production applications in React, Next.js, TypeScript and Tailwind CSS, build the REST APIs behind them in Laravel/PHP and Node.js, and manage state with Redux and React Query. I implemented ISR with on-demand revalidation so dashboard changes reach live pages instantly, took a mobile PageSpeed score from about 55 to about 90, and put technical and programmatic SEO across production pages — on OnlineToolPot, that became an architecture for more than 130 tool pages.

The AI side is hands-on, not theoretical. On Resumaic I shipped AI-powered resume and cover-letter generation alongside a Node.js microservice for ATS scoring, with Google OAuth and Stripe subscriptions. In applied computer vision I developed experimental workflows for real-estate photography — dataset preparation, scene classification, image comparison, mask-based analysis and image-quality signals such as color, exposure, similarity and HDR differences — using Python, OpenCV, PyTorch, NumPy, Pandas, Jupyter and Google Colab to support AI-assisted quality control.

I started with a five-month frontend internship at Social Swirl, building reusable React and TypeScript components for social-media management tools. Behind that: a BS in Information Technology at the University of Education, Lahore, and a diploma in Machine Learning and Deep Learning from NAVTTC and CORVIT. I work in English (fluent) and Urdu (native).