Professional Overview
AI Engineer transitioning from 5 years in IT with hands-on experience in Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Ollama, local LLM deployment, and AI agents. Skilled in Python, prompt engineering, vector databases, LLM integration, and building scalable AI-powered applications with practical implementation.
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
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.
