Professional Overview
LLM Engineer, 5+ years shipping production RAG pipelines, AI agents, and LLM integrations. Python, LangChain, LlamaIndex, vector DBs (pgvector), FastAPI, Docker, OpenAI/Claude/Gemini. Built AI RAG Assistant (source-cited answers, 200+ users) and AI Document Processor (-60% manual work). Reliable AI systems, end to end.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
