MSc Cloud Computing graduate from the University of Leicester — shipping production-grade GenAI products that sit at the intersection of rigorous engineering and intuitive design.
I don't just build LLM wrappers. I architect systems: RAG pipelines with measurable retrieval precision, evaluation loops that catch hallucinations, and UX layers that make AI accessible to the people who need it.
My design background is the unfair advantage — it means I speak both the language of engineers and the language of users.
An AI recruitment assistant that ingests CVs and job descriptions, generates semantic embeddings, and performs retrieval-augmented candidate-to-role matching. Multi-stage prompt pipeline with context design and output guardrails to ensure auditable, grounded answers — reducing hallucinated summaries at the source.
"End-to-end RAG product demonstrating prompt engineering, vector retrieval, and responsible AI practices directly aligned with enterprise LLM deployment."
AI-driven career coaching platform using LLM orchestration to deliver personalised skill assessments, learning roadmaps, and job-fit recommendations. Multi-turn conversational flows with structured context management — tackling the hardest challenge in production LLM systems: coherence across long interactions.
"Demonstrates ability to orchestrate LLM workflows, apply responsible AI design, and communicate AI capabilities through intuitive UX."
Open to AI/ML Engineer, MLOps, AI Infrastructure, and AI Product roles. Based in Leicester, UK — open to remote and hybrid arrangements globally.