Lem S
Software Engineer at Tesler
Uppsala, Sweden
Summary
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RockstarLem S is a software engineer based in Uppsala, Sweden with 11 years of hands-on experience building web systems and infrastructure. He blends back-end development and DevOps expertise, and is comfortable turning research-grade ideas into production-ready features. An active GitHub tinkerer with “too many side projects,” he has contributed practical security-focused tooling such as Linux facial authentication (Windows Hello–style) by implementing core comparison logic and PAM integration. Lem’s work shows attention to real-world constraints—camera calibration, image quality, and system integration—not just algorithms. He favors pragmatic, end-to-end ownership and enjoys solving the glue problems that make innovative features reliable in production.
11 years of coding experience
English, Dutch
Github Skills (9)
pam10
python10
face-recognition10
auth10
linux9
camera9
opencv9
configuration-management8
debian7
Programming languages (11)
Github contributions (5)
boltgolt/howdy
Jan 2018 - Apr 2022
🛡️ Windows Hello™ style facial authentication for Linux
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:10 releases, 14 reviews, 275 commits in 4 years 4 months
Contributions summary:Lem focused on building the core authentication logic for the Linux facial recognition system. They implemented a Python script (`compair.py`) to compare facial encodings, likely utilizing a face recognition library. The user also worked on integrating the facial recognition with the system's PAM module, enabling it to be used for session authentication. They also added and adjusted the configuration setup including camera parameters and image quality settings.
pamcameraface-recognitionmanjaroir-camera
boltgolt/csss-lang
Jan 2017 - May 2018
Contributions:31 commits, 27 pushes, 1 branch in 1 year 3 months
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