Professional Overview
AI & backend engineer shipping production RAG, agentic, and LLM systems end to end. Built a traceable RAG copilot and agent flows on FastAPI + Anthropic SDK at a regulated fintech, keeping AI out of the core decision path for auditability. Live project: EU AI Act copilot (aiactcopilot.eu). Python, FastAPI, pgvector, LangGraph.
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.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
