Working in an AI orchestration role, using Python, FastAPI, and Pydantic to build scalable APIs and services that operationalise the latest AI models in production.

Used LangChain, LangGraph, and Langfuse to develop, orchestrate, and monitor LLM-powered applications.

Built RAG pipelines and MCP integrations, while collaborating on model benchmarking projects across different use cases.

Also contributed to DevOps and backend engineering work, including CI/CD automation, reliability improvements, API development, and collaboration on Svelte-based frontend applications, with a strong focus on clear documentation to support maintainability, onboarding, and operational excellence.

Completed a 5-week full-stack development training covering modern web technologies and best practices.

Followed by a 5-week hands-on project focused on data engineering, contributing primarily to the data ingestion team.

Developed Python backend services and worked extensively with Azure cloud tools.

Gained practical experience in building scalable data pipelines and cloud-based solutions.