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M.Sc. Data Science and Artificial Intelligence; B.Sc. Mechanical Engineer, Minor in Computational Mathematics
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Universität des Saarlandes
Data Scientist
June 27, 2026 – Present
site2md
December 11, 2025 – December 11, 2025
A powerful CLI tool that mirrors entire websites or local directories and converts them into a single, clean Markdown file. Perfect for generating LLM context (RAG), offline documentation reading, and web archiving.
View Projectpretrain-braindecode-models
September 23, 2025 – September 25, 2025
pretrain-braindecode-models — GitHub repository
View Projectinstall-tensorflow
January 11, 2025 – August 20, 2025
A correct installation of tensorflow once and for all.
View ProjectUniAD
December 2, 2024 – December 16, 2024
A brief review of the UniAD, a comprehensive framework introduced in the paper "Planning-oriented Autonomous Driving" by Yihan Hu et al.
View Projectgenerative-ai
November 9, 2024 – February 23, 2025
This repository contains implementations of various assignments and a project related to the Generative AI course of the WS2024/25 at Saarland Unversity.
View Projectrend-a-pixel
October 10, 2024 – October 10, 2024
Raytracing rendering engine developed on top of the Lightwave Framework as the final project for the Computer Graphics course at Saarland University lectured by Prof. Dr.-Ing. Philipp Slusallek during the Winter Semester 2023/2024.
View Projecthlcv
April 29, 2024 – October 23, 2024
This repository contains implementations of various assignments and a project related to the High-Level Computer Vision course.
View Projectnnti
November 14, 2023 – October 23, 2024
Neural Networks: Theory and Implementation WS23 UdS, Assignment Repo
View Projectsupervised-micrograph-segmentation
November 17, 2020 – January 31, 2025
Segmentation Model for micrographs of hypoeutectoid steels, based on superpixels and textons, with an added ability to estimate the mean apparent interlaminar spacing of pearlite and the mechanical properties.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, focusing on advanced technical topics in computer science and data science. While this demonstrates strong technical curiosity and initiative, the lack of professional experience or team-based projects makes it difficult to assess cultural fit for a collaborative industry role. The single listed 'Data Scientist' role is current but has a future start date, providing no historical context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on academic and technical challenges, but no information on collaboration, problem-solving approach, or communication style is available.