vgsteiger,Viktor Gsteiger,github

Hello World!

I am currently pursuing a computer science master's degree from ETH Zürich in Switzerland with a major in Data Management System and minor in Programming Languages and Software Engineering. Previous and future Delta @ Palantir, former SWE @ BSI AG. I obtained my Computer Science BSc at the University of Basel with a focus in Databases and Information System. Somewhat political, definitely a news/podcast addict and frequent reader.

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, Rust, Kotlin, Ubuntu, Bash, Docker, AWS Lambda, and Go
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: [email protected] | LinkedIn

Viktor Gsteiger's Projects

ast-project

Project repository for Automatic Software Testing lecture

cs-108-2019-buddler-joe

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

dace-vscode

Rich editor for SDFGs with included profiling and debugging, static analysis, and interactive optimization.

githubgraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

hs20-turingseminar

Repository for the contribution of V.Gsteiger to the seminar 58826-01 – Turing Award Winners and Their Contributions in the autumn semester of 2020

lucky38

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

programmieren-notebooks

Jupyter notebooks für dir Vorlesung Grundlagen der Programmierung

unfaasener

A lightweight framework that enables serverless users to reduce their bills by harvesting non-serverless compute resources such as their VMs, on-premise servers, or personal computers.