Machine Learning Engineer with a Systems Engineering background and hands-on experience developing, evaluating, and improving Large Language Models across diverse technical projects. Specialised in NLP, Deep Learning, SQL, and multi-language code tasks, with strong capabilities in debugging, data engineering, and model evaluation frameworks. Experienced working across rapidly changing environments (Outlier Al/Scale), adapting to new tools, repositories, and workflows, including Airflow, BigQuery, Docker, Gradle, and NLQ→SQL systems. Complemented by formal ML training through Anyone Al, where built end-to-end ML, NLP, and Deep Learning solutions. Seeking to contribute to teams focused on Al evaluation, ML engineering, and LLM training.