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Working the works
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Working the works
18 followers · 40 following

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: YOLOAchievement: Arctic Code Vault Contributor

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vGsteiger/README.md

Hello World!

Previous and future Forward Deployed Software Engineer @ Palantir, former SWE @ BSI AG. I obtained my Computer Science MSc at ETH Zürich with a major in Data Management System and minor in Programming Languages and Software Engineering BSc at the University of Basel with a focus in Databases and Information System.

More about me...

  • Strong understanding of programming concepts and principles, including object-oriented programming, data structures, algorithms, and design patterns
  • Familiarity with a variety of programming languages and frameworks, including Java, Python, TypeScript, Kotlin, Ubuntu, Bash, Docker, AWS Lambda, and Go
  • Contributed to multiple mid to large-scale research projects such as modyn, Caribou, and more
  • Proficient in data analysis and visualization using tools like Pandas, NumPy, and Matplotlib
  • Experience with software development tools, such as Git, Azure DevOps, and Jupyter Notebooks
  • Knowledge of software development best practices, including Agile methodology and test-driven development
  • How to reach me: info@vgsteiger.com | LinkedIn

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  1. CS-108-2019-Buddler-Joe CS-108-2019-Buddler-Joe Public

    Contribution to the 2019 CS-108 programming project lecture in form of the real-time multiplayer game Buddler Joe.

    Java

  2. Lucky38 Lucky38 Public

    Programming project for the lecture 52354-01 Smart Contracts and Decentralized Blockchain Applications in the autumn semester of 2019.

    Solidity

  3. VBS-Analysis VBS-Analysis Public

    Jupyter Notebook 1

  4. eth-easl/modyn eth-easl/modyn Public

    Modyn is a research-platform for training ML models on growing datasets.

    Python 29 3