Viktor Holmgren is a software engineer with 11 years of experience, currently building products at Sectra in Linköping and serving as an Agile-minded senior engineer. He blends practical industry experience with deep AI/ML interests—his master’s thesis applied Deep Reinforcement Learning combined with Monte Carlo Tree Search to optimise preventative maintenance, a production-oriented approach inspired by DeepMind techniques. An active open-source contributor to the Rust compiler, Viktor brings low-level systems understanding alongside higher-level ML workflows. He has a strong academic foundation (MSc in Software Engineering, top GPA) and a history of organizing and mentoring through student leadership roles, which informs his collaborative, coach-like working style. Notably, he balances research-grade experimentation with shipping maintainable software in regulated domains.
11 years of coding experience
Gymnasieexamen, Teknik, Informations- och Medieteknik, Gymnasieexamen, Teknik, Informations- och Medieteknik at Fria Läroverken i Linköping
Master of Science (MSc), Computer Science and Software Engineering (Mjukvaruteknik), GPA: 4.49 (3, 4, 5 scale), Master of Science (MSc), Computer Science and Software Engineering (Mjukvaruteknik), GPA: 4.49 (3, 4, 5 scale) at Tekniska högskolan vid Linköpings universitet
Sci-Fi galaxy simulation with heavy procedural generation focus
Contributions:223 commits, 202 PRs, 291 pushes in 5 years 4 months
rustproceduralscimachine-learningsimulation
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