Professional Overview
AI Engineer and Machine Learning Engineer with a background in Physics. I build end-to-end AI systems, from data pipelines and model training to production-ready applications. My experience includes Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Natural Language Processing (NLP), information retrieval, and deep learning.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.