IT Engineering Intern at Swiss International Airlines

IT Engineering Intern - Artificial Intelligence and Machine Learning at SWISS International Air Lines, part of Lufthansa Group. I work in the General Software Development team in Basel, contributing to AI evaluation, internal software tooling and cross-team digital initiatives. My main work focuses on designing a versioned evaluation framework for PAX, an internal employee assistant, including deterministic checks, tool-call validation, semantic LLM-as-a-Judge scoring and release gating. I also work on Retrieval-Augmented Generation evaluation using Databricks concepts, regression datasets and runtime quality signals to compare candidate releases against baseline behaviour. In this context, I helped reduce evaluation latency from around 6 seconds to 2 seconds by parallelising score computation and contributed to reducing observed fail cases through structured release-validation testing. During an internal hackathon, I designed a Model Context Protocol-enabled multi-agent workflow for GitHub Copilot CLI, with separate planning and implementation modes to support end-to-end software delivery and improve Azure DevOps task execution. I also create test cases covering AI reliability and security risks such as prompt injection, jailbreaks, data leakage, hallucinations and unsafe tool execution. Beyond AI evaluation, I collaborate with Digital Hangar, Customer Relationship Management colleagues and the PAX team across Lufthansa Group planning activities, including Program Increment Planning in Frankfurt. I also contribute to Lufthansa Cabins Improvement activities and lead a SWISS TechOps video initiative to promote internal culture.