Christoffer Arvidsson
Deep Learning Engineer at Zenseact
Gothenburg, Västra Götaland County, Sweden
Summary
👤
Senior🎓
Top SchoolChristoffer Arvidsson is a Deep Learning Engineer with eight years of software experience and an academic foundation in Artificial Intelligence from Chalmers University of Technology. Based in Gothenburg, he blends research-driven machine learning—currently studying Complex Adaptive Systems—with hands-on engineering at Zenseact, where he progressed from a master’s thesis on efficient nearest-neighbor search for tiny image regions to a production-focused deep learning role. His background includes low-level performance work in C on concurrent data structures and pragmatic automation with Python at Ericsson, giving him a rare combination of systems-level optimization and ML modeling expertise. Known for a curiosity-driven approach to problem solving (and a playful GitHub bio), he delivers solutions that balance algorithmic novelty with real-world constraints like memory footprint and scalability.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Chalmers University of Technology
Stackoverflow
1reputation
0reached
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Github Skills (14)
elisp8
emacs7
voice-to-text6
startpage6
audio-processing5
haven5
machine-learning4
speech-recognition3
python3
org-mode2
automatic-speech-recognition2
packaging2
cli1
pdf1
Programming languages (5)
Github contributions (5)
christoffer-arvidsson/adventofcode
Dec 2019 - Dec 2024
Contributions:107 pushes, 2 branches in 5 years 1 month
chrarvi/null_emacs
Mar 2023 - Sep 2025
A whole new emacs config
Contributions:4 PRs, 195 pushes, 14 branches in 2 years 6 months
emacs
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