133 lines
7.3 KiB
Markdown
133 lines
7.3 KiB
Markdown
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---
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title: Stefan Dresselhaus
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...
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# Work-Experience
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- **Oct. 2018 to Aug. 2021**:
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- ML-Specialist at [Jobware](https://jobware.de) (Paderborn; german Job-Advertising-Platform)
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- Extraction/Classification of sentences from JobAds (Requirements, Benefits, Tasks, ...)
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- Extraction of Information from JobAds (Location of company, Location of workplay, contact-details, application-procedure, etc.) including geocoding of those information (backed by OpenStreetMap)
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- Embedding of JobAds into a meaningful space (i.e. "get me similar ads. btw. i dislike ad a, b, c").
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- 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.))
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- Technologies used:
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- Haskell (currently GHC 8.6, soon GHC 8.8)
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- stack + stackage-lts
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- fixplate (recursion-schemes-implementation)
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- many usual technologies like lens, http-simple, mtl, ..
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- golden-testing via tasty
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- several inhouse-developments:
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- templating based on text-replacement via generics (fieldname in Template-Type == variable replaced in template)
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- activeMQ/Kibana-bridge for logging via hs-stomp
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- generic internal logging-framework
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- Python
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- tensorflow
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- pytorch
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- sklearn
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- nltk
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- **2013-2018**:
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- several jobs at my University including
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- Worked 6 Months in the Workgroup "Theoretical Computer Science" on migrating algorithms to **CUDA**
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- Tutor "Introduction to Machine Learning"
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- Was awarded **Tutoring-Award** of the Faculty of Technology for excellent tutoring
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- Lecture "Intermediate Functional Programming in Haskell"
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- Originally developed as student-project in cooperation with Jonas Betzendahl
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- First held in Summer 2015
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- Due to high demand held again in Summer 2016 and 2017
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- Was awarded **Lecturer-Award** "silver Chalk" in 2016
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- First time that this award was given to students
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- Many lecturers at our faculty never get any teaching-award until retirement
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- Development of Pandoc-Filters for effective **generation of lecture-slides** for Mario Botsch (Leader Workgroup Computer Graphics) using Pandoc & reveal.js
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- Framework: [https://github.com/mbotsch/revealSlides](https://github.com/mbotsch/revealSlides)
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- Example: [https://github.com/mbotsch/eLearning](https://github.com/mbotsch/eLearning)
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- Pandoc-Filters: [https://github.com/mbotsch/pandoc-slide-filter](https://github.com/mbotsch/pandoc-slide-filter)
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<img align="right" style='border:1px solid #000000; float:right; margin-left:20px' height='300px' src="/About/DresselhausStefan_klein2.jpg"/>
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# Education
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- **Bachelor** "Kognitive Informatik" (Cognitive Informatics) in Bielefeld 2010-2014
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- **Master** "Naturwissenschaftliche Informatik" (Informatics in the natural sciences) 2014-2018
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## Extraordinary grades (Excerpt of my Transcript)
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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
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- **1.0 in Modern Data Analysis**
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- Master course on data-analysis (time-series, core-vector-machines, gaussian processes, ...)
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- **1.0 in Computergraphics**
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- Raytracing, Modern OpenGL
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- **1.3 in Computer-Animation**
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- Dual-Quarternion-Skinning, Character-Animation, FACS-Poses, etc.
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- **1.3 in GPU-Computing (CUDA)**
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- 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
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- **1.0 in Parallel Algorithms and Data-Structures**
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- **Ethical Hacking**
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- Reverse Engineering with IDApro
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# Haskell-Enthusiast
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- Learning/Writing Haskell since ~2014
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- Created and held advanced Haskell-Lecture at my University
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## github
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- [My Profile](https://github.com/Drezil/)
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- [Haskell-Lecture](https://github.com/FFPiHaskell/)
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- [Co-Founder of DataHaskell](https://github.com/DataHaskell)
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## Highlights on github
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- **Author** of Eve-Online-Interface in [yesod-auth-oauth2](https://github.com/thoughtbot/yesod-auth-oauth2/pull/33)
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- **Author** of "New Eden Accounting Tool" ([neat](https://github.com/Drezil/neat)), which is basically a ledger for Trading in the game Eve-Online
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- 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)
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- **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 -.-
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- **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
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- [**Raytracer** in Haskell for my Computergraphics-Course](https://github.com/Drezil/htrace)
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- **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))
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- several other dead projects :D
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# Studium generale / University-Life
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(What I did at university besides studying ;) )
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## Committees / Student Body
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- Student Member of Studienbeirat Informatik (Study-Profile Commission)
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- Student Member of Tutorenauswahlkommission (Tutor-Selection Committee)
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- Leader Tutorenevaluation (Evaluation of Tutors)
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- Student Member of NWI-Master-Auswahlausschuss (Master-Application Committee for my course of study)
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- Student Member of NWI-Master-Prüfungsausschuss (Committee for Exam-disputes of my Master course)
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- Member of the Admin-Team for the student-body pcs
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## ekvv-Links (entries in the electronic course-catalog)
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### Summer 15
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- [Fortgeschrittene funktionale Programmierung in Haskell](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=54004629) (Haskell-Lecture)
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- [Lecture on YouTube](https://www.youtube.com/playlist?list=PLMqFm6rr-xOWhXGroUXzWx00FeaBNfbsa)
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### Summer 16
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- [Fortgeschrittene funktionale Programmierung in Haskell](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=71172682) (Haskell-Lecture)
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- [Lecture on YouTube](https://www.youtube.com/playlist?list=PLMqFm6rr-xOUEf2YjSxRn8BIhrdRIhZw6) (differs from link above)
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- This was the **"silver chalk"-lecture**
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### Winter 16/17
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- [Richtig Starten](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=84763664) (Start Right!)
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- [Tutor Introduction to Machine Learning](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=79599350) (Tutor in this Lecture)
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- Was awarded **Tutoring-Award** of the faculty
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- Remade and updated slides for [Computergraphics-Lecture](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=79016005)
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- Lecture was **awarded "silver chalk"** among others things because of the updated slides.
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### Summer 17
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- [Fortgeschrittene funktionale Programmierung in Haskell](https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=94694136) (Haskell-Lecture)
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- Same as Summer 16
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- Totally **reworked Exercises** accompanying the lecture
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