Julian Beck
Cloud Platform Engineer
Stuttgart, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolJulian Beck is a Cloud Platform Engineer with 11 years of hands-on experience building cloud-native infrastructure and full-stack applications, currently at inovex in Stuttgart. He blends cloud platform expertise with Web and iOS development, contributing to open-source tooling such as the cloud-annotations project where he implemented export and download features and testing for CLI workflows. His background spans industrial mechatronics and embedded testing to machine-learning research, including theses on reinforcement learning for EV charging and offloading ML image analysis from smart glasses. Comfortable in DevOps and CI/CD environments, he pairs practical operational skills with curiosity for ML and native app development. Outside of work he’s an avid traveler and coffee lover, a detail that mirrors his preference for small, well-crafted solutions.
11 years of coding experience
1 year of employment as a software developer
Entrance Qualification for studies at universities of applied science, Mechatronics, 2.0, Entrance Qualification for studies at universities of applied science, Mechatronics, 2.0 at Robert-Bosch-Schule StuttgartBachelor of Science - BS, Computer Science, 1.6, Bachelor of Science - BS, Computer Science, 1.6 at Karlsruhe University of Applied Sciences
German, English, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
command-line-interface10
javascript10
cli10
command-line10
nodejs9
testing8
Programming languages (13)
Github contributions (5)
cloud-annotations/cloud-annotations
Jul 2019 - Aug 2019
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:22 commits, 2 PRs, 8 comments in 13 days
Contributions summary:Julian primarily contributed to the export functionality of the `cacli` tool, adding features to export specific aspects of the data. They implemented options to export annotations, graphs, and complete buckets, modifying the `dump.js` and `download.js` files. The user also added tests for the download feature, ensuring the model could be downloaded successfully with various CLI options. Their work indicates an understanding of both the frontend and backend aspects of the project.
detectionimage-annotationibm-cloudcloud-annotationsmachine-learning
julianfbeck/HSKA-App
Nov 2020 - Apr 2021
If you study INFB, MNIB, MKIB, or INFM at the Karlsruhe University of Applied Sciences then you can use this App to get useful widgets about grades and more.
Contributions:2 releases, 15 commits, 2 PRs in 4 months
gradesscienceswidgetsflutterkarlsruhe
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