Abdul Hadi builds
systems that learn
and stay secure.

I'm an AI/ML engineering student at UMT Lahore who'd rather ship a working tool than talk about one. Most of what I know, I learned by building — a diagnostics engine on a medical dataset, an offline LLM stack for privacy-first inference, a handful of Gradio apps that strangers actually use on Hugging Face Spaces.

I'm comfortable across the applied ML pipeline: cleaning data, training and evaluating models with scikit-learn, and getting them in front of people with Gradio or Streamlit. Outside of ML, I automate real workflows with n8n and Python, and I'm building toward a second track in cybersecurity — reconnaissance, Linux hardening, and eventually CTFs — aimed at roles like NR3C or SOC analyst work.

Right now I'm balancing university coursework with a Machine Learning internship at InternGrow and self-directed automation projects. Long-term, I want to work where applied ML and security overlap — building systems that are both smart and hard to break.