I turn models into systems people can rely on, and interfaces people enjoy using.

I'm Shaheer Aslam, an AI engineer finishing an MSc in Applied Artificial Intelligence at London South Bank University, after a BSc in Data Science at GIK Institute in Pakistan. My work sits at the seam between modelling and engineering, where a promising prototype has to become a system that is fast, explainable, and trustworthy.

I build across the full stack of AI engineering: machine learning, LLM applications and agents, data engineering, and the MLOps that keeps them reliable. I have shipped an explainable churn model with a live dashboard, an autonomous cold outreach agent, a shadow mode deployment system, and a real time crypto data platform with a full observability stack. Alongside that, I build the interfaces and interactive experiences that sit on top, including 3D scenes in Spline, wired up and animated with React and Framer Motion. A system that works but feels lifeless doesn't get used.

That range comes from working in different worlds: a software engineering internship at Jazz, freelance full-stack and mobile work, and a foundation in data science and interactive design. I care about evaluation, latency, monitoring, and the quiet reliability work that decides whether AI actually ships, and about the interface being something people actually want to use.