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---
tags:
- Drezil
status: Incomplete
---
# Highlights of my experiences in the programming world
(as far as NDA and other things allow it)
## Haskell-Enthusiast
- Learning/Writing Haskell since ~2014
- Created and held advanced Haskell-Lecture at my University
### github
- [My Profile](https://github.com/Drezil/)
- [Haskell-Lecture](https://github.com/FFPiHaskell/)
- [Co-Founder of DataHaskell](https://github.com/DataHaskell)
## gitea
I also have a [gitea-instance](https://gitea.dresselhaus.cloud/explore/repos)
where one can finde more current things and backups of old.
### Highlights
- **Author** of Eve-Online-Interface in [yesod-auth-oauth2](https://github.com/thoughtbot/yesod-auth-oauth2/pull/33)
- **Author** of "New Eden Accounting Tool" ([neat](https://github.com/Drezil/neat)),
which is basically a ledger for Trading in the game Eve-Online
- Driver behind getting [https://github.com/jgm/pandoc/issues/168]() implemented
and merged, because we needed it for our slide-filters (see [[Work]]# ->
Development of Filters)
- **Author** of [img2ascii](https://github.com/Drezil/img2ascii) - Small cli-tool
for converting images into terminal-codes & ascii using JuicyPixels, because i
always forget what is on the images over an ssh-connection -.-
- **Implemented Array-Fusion and Recycling** for [subhask](https://github.com/mikeizbicki/subhask/pull/57)
as layed out in [Recycle your Arrays](https://doi.org/10.1007/978-3-540-92995-6_15)
by Roman Leshchinskiy
- [**Raytracer** in Haskell for my Computergraphics-Course](https://github.com/Drezil/htrace)
- **implementation of [Densely Connected Bi-Clusters](https://github.com/Drezil/hgraph)-Algorithm** in Haskell
([Paper](https://www.researchgate.net/profile/Recep_Colak/publication/267918524_DENSELY-CONNECTED_BI-CLUSTERING/links/560f1aff08ae483375178a03.pdf))
- [Chemodiversity-Project](https://gitea.dresselhaus.cloud/Drezil/chemodiversity)
at University during my masters. Complete with slideshow explaining
everything.
- several other dead projects :D

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---
tags:
- Drezil
status: Done
---
# Studium generale / University-Life
(What I did at university besides studying :sunglasses: )
## Committees / Student Body
- Student Member of Studienbeirat Informatik (Study-Profile Commission)
- Student Member of Tutorenauswahlkommission (Tutor-Selection Committee)
- Leader Tutorenevaluation (Evaluation of Tutors)
- Student Member of NWI-Master-Auswahlausschuss (Master-Application Committee for
my course of study)
- Student Member of NWI-Master-Prüfungsausschuss (Committee for Exam-disputes of
my Master course)
- Member of the Admin-Team for the student-body pcs
## ekvv-Links (entries in the electronic course-catalog)
### Summer 15
- [Fortgeschrittene funktionale Programmierung in Haskell](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=54004629)
(Haskell-Lecture)
- [Lecture on YouTube](https://www.youtube.com/playlist?list=PLMqFm6rr-xOWhXGroUXzWx00FeaBNfbsa)
- [[FFPiH|more details on the lecture]]#
### Summer 16
- [Fortgeschrittene funktionale Programmierung in Haskell](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=71172682)
(Haskell-Lecture)
- [Lecture on YouTube](https://www.youtube.com/playlist?list=PLMqFm6rr-xOUEf2YjSxRn8BIhrdRIhZw6)
(differs from link above)
- This was the **"silver chalk"-lecture**
- [[FFPiH|more details on the lecture]]#
### Winter 16/17
- [Richtig Starten](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=84763664)
(Start Right!)
- [Tutor Introduction to Machine Learning](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=79599350)
(Tutor in this Lecture)
- Was awarded **Tutoring-Award** of the faculty
- Remade and updated slides for [Computergraphics-Lecture](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=79016005)
- Lecture was **awarded "silver chalk"** among others things because of the
updated slides.
### Summer 17
- [Fortgeschrittene funktionale Programmierung in Haskell](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=94694136)
(Haskell-Lecture)
- Same as Summer 16
- Totally **reworked Exercises** accompanying the lecture
- [[FFPiH|more details on the lecture]]#

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---
tags:
- Drezil
status: Incomplete
---
# Work-Experience
- **Mar. 2023 to Sep. 2023:**
- Developer for 2Lambda.co. Role migrated from just coding stuff to
architecting and rewriting the whole software from the ground up using a
small modular approach instead of the shaky one-off systems in place.
Was later a "nanny for everything".
- Did a lot of work to have self-documenting code (i.e. generate documentation
from the actual values used in the program, not some comments that always
get out of date)
- Setting up a knowledge-base (Zettelkasten-approach) to track experiments and
hyperlink them to the documentation generated above (and due to Zettelkasten
you then get "this thing was used in Experiments a, b and c" automatically
- Technologies used:
- Clojure
- Complete application was written in Clojure
- Never touched that language before March - got up to speed in just 2
days, poked the expert on the team detailed questions about the
runtime-system after 1 month (like inlining-behavior, allocation-things,
etc.)
- Emanote
- autogenerated & linked documentation of internal modules
- integrated with manual written tutorials/notes
- crosslinking documentation of experiments with documentation of modules
- Web of knowledge
- bidirectional discovery of things tried/done in the past to optimize
finding of new strategies (meta-optimizing the decisions on what to
optimize/try)
- Infrastructure
- Organized and co-administrated the 4 Root-Servers we had
- Set up Kubernetes, Nexus, Docker, Nginx, letsencrypt-certs, dns-entries,
etc..
- **Oct. 2018 to Aug. 2021**:
- ML-Specialist at [Jobware](https://jobware.de) (Paderborn; german Job-Advertising-Platform)
- Extraction/Classification of sentences from JobAds (Requirements, Benefits,
Tasks, ...)
- Extraction of Information from JobAds (Location of company, Location of
workplay, contact-details, application-procedure, etc.) including geocoding
of those information (backed by OpenStreetMap)
- Embedding of JobAds into a meaningful space (i.e. "get me similar ads. btw.
i dislike ad a, b, c").
- Analyse & predict search-queries of users on the webpage and offer likely
but distinct queries (i.e. similar when typo or complete different words
(synonyms, hyponyms, etc.))
- Technologies used:
- Haskell (currently GHC 8.6, soon GHC 8.8)
- stack + stackage-lts
- fixplate (recursion-schemes-implementation)
- many usual technologies like lens, http-simple, mtl, ..
- golden-testing via tasty
- several inhouse-developments:
- templating based on text-replacement via generics (fieldname in
Template-Type == variable replaced in template)
- activeMQ/Kibana-bridge for logging via hs-stomp
- generic internal logging-framework
- Python
- tensorflow
- pytorch
- sklearn
- nltk
- **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 "[[FFPiH|Intermediate Functional Programming in Haskell]]"
- Originally developed as student-project in cooperation with Jonas Betzendahl
- First held in Summer 2015
- Due to high demand held again in Summer 2016 and 2017
- Was awarded **Lecturer-Award** "silver Chalk" in 2016
- First time that this award was given to students
- Many lecturers at our faculty never get any teaching-award until retirement
- Development of Pandoc-Filters for effective **generation of lecture-slides**
for Mario Botsch (Leader "Workgroup Computer Graphics") using Pandoc & reveal.js
- Framework: [https://github.com/mbotsch/revealSlides](https://github.com/mbotsch/revealSlides)
- Example: [https://github.com/mbotsch/eLearning](https://github.com/mbotsch/eLearning)
- Pandoc-Filters: [https://github.com/mbotsch/pandoc-slide-filter](https://github.com/mbotsch/pandoc-slide-filter)

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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)