AI & Machine Learning graduate specialising in machine learning and computer vision, with internship experience across cybersecurity and enterprise AI. I build and deploy ML systems for automation and intelligent decision-making.
I recently completed a BSc (Hons) in Artificial Intelligence at King's College London (Upper Second-Class Honours, 2:1), with coursework spanning deep learning, NLP & LLM systems, data science, and cloud AI deployment.
My work sits where research-grade ML meets real deployment: real-time computer vision on robotics, label-efficient deep learning, and LLM-based systems — each backed by code, reports and demos rather than toy examples. Alongside university I've interned at a global cybersecurity company and an enterprise-AI team, shipping automation with measurable impact.
ML pipeline for mental-health diagnosis & treatment support — clinicalBERT, EDA and model training, with a full report and video demo.
A multi-agent Programmer→Tester pipeline benchmarking four self-hosted SLMs against Claude for automated unit-test generation on HumanEval & MBPP.
A free, open-source desktop app that hunts for roles while you live your life: it reads published job-board APIs on a schedule, keeps an honest tracker, briefs you daily on your own Telegram bot, and helps you write to employers from your own words — a human clicks every Submit.