Ark Kapital Lunch lecture

Santiago Roman is a Machine Learning Engineer at Gilion, where he applies his expertise to develop AI-powered forecasting solutions. A KTH Royal Institute of Technology graduate with an MSc in Machine Learning, he brings a unique perspective in using data to uncover and communicate meaningful insights. His journey includes valuable experience at prominent tech companies, including King and Ericsson, where he worked on diverse projects from computer vision to data science.

Mo Andjedani is the Head of Machine Learning at Gilion, where he leads the AI-ML team in developing scalable automated forecasting platforms and LLM-based services. A passionate educator and team builder, he combines his deep expertise in computational geometry and machine learning with a unique approach to gamification. Before Gilion, he held principal roles at King's AI Center of Excellence and served as CTO at DataArt, where he built and led teams of 20+ tech talents. His journey includes founding The Graph and transforming AI platforms at Hezardastan Group. Mo's enthusiasm for teaching and mentoring, coupled with his love for mathematics and algorithms, reflects in his hands-on approach to leadership – sometimes even serving coffee as a barista to stay connected with people at a personal level.

Elin joined Ark at around 10 employees. Working in the AI/ML team, the main focus is delivering high quality forecasts. Completed her masters at Computer Science at KTH, including a small trip into industrial management.

Celine Helgesson Hallström is a Data Engineer at Gilion, where she combines her expertise in media technology and machine learning to build robust data infrastructures. A KTH Royal Institute of Technology graduate with a focus on Machine Learning, she recently gained recognition for her master's thesis at Schibsted, exploring LLM capabilities for news article evaluation. Her multifaceted experience includes being named SEB Tech Talent of the Year 2022, creating educational content at KTH, and founding a student-focused podcast.