Python-focused software engineer with hands-on experience building production APIs, integrating AI/GenAI capabilities, and shipping full-stack applications. Background spans Django/Flask backend development, machine learning with Scikit-learn and TensorFlow, and applied GenAI work including LLM integration and prompt engineering. Comfortable across the AI application stack, from REST API design and database optimisation to model training, evaluation, and deployment on cloud platforms (AWS, GCP/Vertex AI). Currently building production backend services and contributing to a Next.js full-stack platform, with a track record of learning new frameworks quickly and translating data problems into working software.