Summary
Sandor Berglund is a PhD candidate in cyber security and a machine learning engineer with eight years of hands-on experience building cloud-native data pipelines, simulation models, and applied ML systems. He has delivered production-focused solutions for sports betting and live-betting pilots at Kambi and Kamin AI, combining AWS cloud development, statistical modeling, and systems programming. Trained at KTH with an MSc in Machine Learning, he focuses his doctoral work on reinforcement learning and security applications, bringing rigorous research thinking to practical engineering problems. Sandor’s background ranges from research demos showcased on national television to consulting projects that integrated GPT-3 chatbots and real-time betting infrastructures. Colleagues describe him as a critical thinker who bridges theory and implementation, comfortable moving between low-level systems work and high-level ML experimentation.
8 years of coding experience
2 years of employment as a software developer
PhD, Cyber Security, PhD, Cyber Security at KTH Royal Institute of Technology