I'm Stanley, a Robotics & AI student at UCL with a focus on computer vision, LLMs, and generative models. My work centers on building practical AI systems that automate tasks, extract insights, and make complex information easier to understand.
- AutoShop β AI shopping agent to find the best products.
- Illusion β AI agentic system built on AWS Strands Agents for corporate data-use transparency.
- Afterversed β Multi-agent automation platform (Strands Agents + Playwright) supporting users through post-bereavement workflows.
- AI Tennis Technique Analyzer β Computer vision + pose-estimation pipeline for real-time swing analysis and feedback.
- Smart Wordle β Wordle-inspired game with AI-driven adaptive difficulty using a RandomForestRegressor.
- Pseudo β Educational penetration-testing sandbox focused on privilege escalation and remote shell access.
- Machine Learning & Applied AI
- Computer Vision & LLMs
- Robotics and control systems
- Agent automation frameworks
- Full-stack development (Python, JS/TS)
- Data engineering & optimisation


