Senior Data Scientist with nearly 5 years building and shipping production AI/ and ML-centered systems at Elsevier. Technical lead across multiple concurrent projects, from discovery to production-grade deployment. Turns ambiguous, high-priority problems into measurable AI-based solutions, combining hands-on experience in ML, LLMs, and graph-based methods. Holds the ability to translate and explain complex technical concepts for non-technical audiences and align senior stakeholders. Looking to grow into a technical leadership role, shaping AI strategy and building teams that deliver real-world, measurable impact.
Seasonal, summers of 2018-2020
Selected for NATO's summer student job program, one of a limited intake into IMS
Working in a local coffee shop is one of the most usual choices for university students. I worked there during summertime, as it was the only period I had the chance to do so, as engineering university took up most of my time. Nevertheless, I had the opportunity to start at the bottom of the hierarchy, as a waiter, and by the end of my time there I was the Head of Staff and a Bartender at the same time. It was a great experience, as I had the opportunity to manage a small number of staff while bartending at the same time, which helped me improve my multitasking skills and learn to perform under stress.