quarto/About/index.md
Nicole Dresselhaus ce0c52a66a initial
2025-05-09 21:47:18 +02:00

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---
title: About me
tags:
- Drezil
status: Incomplete
about:
template: solana
image: Nicole_small.png
links:
- icon: github
text: Github
href: https://github.com/Drezil/
- icon: gitea
text: Gitea
href: https://gitea.dresselhaus.cloud
---
## Work
- **March 2024 to September 2028**:
- Research-Software-Engineer at "Digital History" workgroup at
[HU Berlin](https://hu-berlin.de)
- Part of NFDI4Memory, Task Area 5 "Data Culture"
- PhD-ing on the side
- **January 2024 to February 2024**:
- Worked for [yarvis](https://yarvis.de/)
- First fulltime-developer; Responsive Webapp with react
- **March 2023 to September 2023**:
- Worked for [2lambda](http://2lambda.co)
- Silicon Valley start-up trying to beat the stock-market with fancy ML-Models
- That work kickstarted my employment at [Red Queen UG](https://red-queen.ug)
where i continue doing consulting work for [2lambda](http://2lambda.co)
while also moving into a more senior role of also building up our own team
of specialists to work on different future projects.
- **Oct. 2018 to Aug. 2021**:
- ML-Specialist at [Jobware](https://jobware.de) (Paderborn; german
Job-Advertising-Platform)
- **2013-2018** several jobs at my University including
- Worked 6 Months in the Workgroup "Theoretical Computer Science" on migrating
algorithms to **CUDA**
- Tutor "Introduction to Machine Learning"
- Was awarded **Tutoring-Award** of the Faculty of Technology for excellent
tutoring
- [Lecture "Intermediate Functional Programming in Haskell"](/Coding/Haskell/FFPiH.md)
- Development of Pandoc-Filters for effective **generation of lecture-slides**
for Mario Botsch (Leader Workgroup Computer Graphics) using Pandoc &
reveal.js
## Education
- **Bachelor** "Kognitive Informatik" (Cognitive Informatics) in Bielefeld
2010-2014
- **Master** "Naturwissenschaftliche Informatik" (Informatics in the natural
sciences) 2014-2018
### Extraordinary grades (Excerpt of my Transcript)
Note: Scale of grades in Germany is 1.0 to 4.0 with 1.0 being best, 4.0 being
passing grade, 5.0 being failed grade
- **1.0 in Modern Data Analysis**
- Master course on data-analysis (time-series, core-vector-machines, gaussian
processes, ...)
- **1.0 in Computergraphics**
- Raytracing, Modern OpenGL
- **1.3 in Computer-Animation**
- Dual-Quarternion-Skinning, Character-Animation, FACS-Poses, etc.
- **1.3 in GPU-Computing (CUDA)**
- originally a 1.7 by timing (task was de-mosaicing on images, grade was
measured in ms, whereby 400ms equated to 4.0 and 100ms equated to 1.0), but
because my deep knowledge was visible in the code i was given a 1.3 after
oral presentation.
- **1.0 in Parallel Algorithms and Data-Structures**
- **Ethical Hacking**
- Reverse Engineering with IDApro
## Further information
- [More details on my work-experience](Work.md)
- [More details of my coding](Experience.md)
- [More details of things i did beside studying at University](Extracurricular.md)