Summary
Julian Waters is a master's student in Machine Learning at KTH finishing his thesis at Ericsson, combining eight years of hands-on technical and customer-facing experience. He programs primarily in Python for ML projects but prefers C++, a language he has leveraged successfully in hackathons and low-level problem solving. His recent R&D work at Ericsson involved using large language models to detect intent injection, reflecting practical experience with cutting-edge NLP safety challenges. Beyond coding, he has done data recovery work and values robust software engineering principles, bringing a pragmatic, forensic mindset to debugging and system reliability. Based in Stockholm, he balances technical depth with people-facing roles—having worked in hospitality and as a performing musician—giving him strong communication skills and adaptability.
8 years of coding experience
KTH Royal Institute of Technology
Gymnasieexamen, Estetiskt program med utökade kurser i Matematik och NO, Gymnasieexamen, Estetiskt program med utökade kurser i Matematik och NO at Musikskolan Lilla Akademien