Computer Scientist (Human-Centered Computing) | ETH Zürich, esa XR Lab | WWDC19&20 Scholar
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ETH Zürich (D-INFK)
Data Scientist
June 26, 2026 – Present
ParquetKit
April 12, 2026 – Present
Elegant, fast, and feature-rich reading and writing of Apache Parquet files in Swift.
View ProjectLearned-Prompting-Sentiment-Analysis
March 29, 2025 – May 29, 2025
This is a Sentiment Analysis Classifier using learned prompting with LLMs
View ProjectOpenMaskXR
September 28, 2024 – January 10, 2025
Open-Vocabulary Scene Understanding in Extended Reality. Our work around Dr. Bauer, Prof. Pollefeys, and Prof. Holz' Mixed Reality 2024 at ETH Zürich.
View ProjectFlexStudio
February 19, 2023 – February 19, 2023
Our work around Prof. Holz' and Hilliges' Human Computer Interaction 2022 at ETH Zürich.
View ProjectETH-Cheat-Sheets
January 28, 2022 – February 10, 2025
Select cheat sheets I've written during my undergraduate CS studies at ETH.
View Projectastro-math-example
January 3, 2022 – January 6, 2022
astro-math-example — Dev.to repository
View ProjectETH-WiNet-VLC-Lab
November 23, 2021 – December 5, 2021
Our work around the fifth assignment of Dr. Mangold's Wireless Networking and Mobile Computing 2021 at ETH Zürich.
View ProjectWWDC20Playground
May 16, 2020 – May 16, 2020
"Wave Lab" is my accepted Swift Student Challenge submission for WWDC20
View ProjectWWDC19Playground
March 15, 2019 – March 26, 2019
"Build your personal CARD" is my accepted scholarship submission for WWDC19
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal technical projects, including submissions to Apple's WWDC, indicating self-motivation and a passion for technology. The diversity of projects, from mobile development to machine learning and networking, suggests adaptability and a broad interest in technical domains. The current role as 'Data Scientist' at ETH Zürich aligns directly with the target role, indicating a clear career path and interest.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate an ability to work on complex technical challenges.