I turn models into things people can rely on.

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.

That range comes from working in different worlds: a software engineering internship at Jazz, freelance full stack and mobile work, a foundation in data science, and certifications spanning machine learning and cybersecurity. I care about evaluation, latency, monitoring, and the quiet reliability work that decides whether AI actually ships.