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.
8 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
0answers
0questions
Github Skills (16)
elisp8
emacs7
startpage7
extensible6
haven5
speech-recognition4
audio-processing4
machine-learning4
dashboard4
emacs-lisp4
python3
spacemacs3
packaging2
statusbar1
dmenu1
Programming languages (5)
Github contributions (5)
christoffer-arvidsson/automatic-speech-recognition
Jan 2022 - Jul 2024
An automatic speech recognition transformer for converting swedish voice to text.
Contributions:1 PR, 7 pushes in 2 years 7 months
audio-processingmachine-learningspeech-recognition
christoffer-arvidsson/null_emacs
Mar 2023 - Feb 2025
A whole new emacs config
Contributions:4 PRs, 185 pushes, 13 branches in 1 year 11 months
emacs
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