From Bytes to Insights: Fuelling Growth with Data

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.

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.

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.

Sophie Hantman Kollén is Team Lead & Data Analyst at Gilion, where she combines leadership skills with deep analytical expertise to drive data-informed decisions. With a strong foundation in Engineering and Industrial Management from KTH Royal Institute of Technology, she brings a unique perspective to data analysis and team development. Her experience includes significant contributions at Klarna, where she helped build the US loyalty program and led crucial analytics initiatives reporting directly to C-level executives.

Stefanos Antaris is a Machine Learning Engineer at Gilion, where he specializes in Generative AI and Computer Vision applications. With a PhD in Artificial Intelligence from KTH Royal Institute of Technology, he brings deep academic rigor to practical industry solutions. His rich experience spans roles as Head of AI at Hive Streaming and as a Marie Curie Fellow at the University of Cyprus, where he tackled complex challenges in distributed data streaming for IoT.