Working across AI/ML development, data engineering, and software engineering including data ingestion, rapid prototyping, and feature implementation. Contributing to research, testing, and technical documentation.
Built and deployed self-hosted agentic AI systems using Docker and Ollama. Developed and integrated multi-agent workflows and RAG pipelines into enterprise-ready prototypes.
Worked on SLAM/ROS2/LiDAR pipeline for autonomous vehicle positioning. Coordinated a 4-person sub-team and presented the team's technical architecture at the Formula Student AI competition at Silverstone (FS-AI 2025).
Collaborated with the SPRITZ group on "Enhancing CAPTCHAs for User Fun and Profit" a novel game-based CAPTCHA solution integrating real-time bidding (RTB) for monetisation.