Sandor Berglund

PhD Candidate

Stockholm, Sweden
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
job2 years of employment as a software developer
bookPhD, Cyber Security, PhD, Cyber Security at KTH Royal Institute of Technology
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Github Skills (4)

programming-language2
rust2
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xcb1

Programming languages (2)

RustPython

Github contributions (5)

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Contributions:16 commits, 11 pushes, 1 branch in 1 year 7 months
sandorstormen/AutoTrackerRS

Aug 2020 - Oct 2020

Contributions:4 PRs, 10 pushes, 5 branches in 1 month
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Sandor Berglund - PhD Candidate