Andreas Falkovén
Software Engineer at Recorded Future
Gothenburg, Sweden
Summary
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Senior🎓
Top SchoolAndreas Falkovén is a software engineer with nine years’ experience applying data science, statistical methods and machine learning to safety-critical domains, most recently building agentic models for cybersecurity at Recorded Future. He has deep expertise in simulation-driven verification and optimisation for autonomous driving, having designed statistical validation frameworks, scenario extraction algorithms and productionised ML services at Kognic and Zenuity. With a background in Engineering Physics and a Master’s in Complex Adaptive Systems, he combines strong quantitative rigor with practical deployment skills (Docker, Kubernetes, APIs). Notably, he has contributed to AD/ADAS verification patents and driven research to align annotation quality with industry safety standards. Based in Gothenburg, he also pursues data visualisation and ML work in Python and R, bridging research-grade methods and scalable engineering.
9 years of coding experience
7 years of employment as a software developer
Master's degree Complex Adaptive Systems, Master's degree Complex Adaptive Systems at Chalmers tekniska högskola / Chalmers University of TechnologyBachelor's degree Engineering Physics, Bachelor's degree Engineering Physics at Chalmers University of Technology
Swedish, English, GermanGithub contributions (5)
EleGagli/toxic-text
Jan 2018 - Feb 2018
Contributions:14 commits in 1 month
Strali/AdventOfCode2020
Dec 2020 - Dec 2021
Contributions:7 pushes, 1 branch in 1 year
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