Professional Overview
Applied AI Engineer with hands-on experience developing, evaluating, and optimizing LLM and RAG systems in production-oriented environments. Strong Python and ML background with experience in NLP systems, embeddings, vector retrieval, prompt engineering, and experimental evaluation of AI systems.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
