- 
          
    
Oct. 2018 to Aug. 2021:
- 
          ML-Specialist at Jobware (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
 
 
 - 
          Haskell (currently GHC 8.6, soon GHC 8.8)
    
 
 - 
          ML-Specialist at Jobware (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”
    
- 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
 
 
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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
    
- Framework: https://github.com/mbotsch/revealSlides
 - Example: https://github.com/mbotsch/eLearning
 - Pandoc-Filters: https://github.com/mbotsch/pandoc-slide-filter
 
 
 
 - 
          several jobs at my University including
    
 
Work-Experience
- 
          
            Highlights of my experiences in the programming world
          
          
            Driver behind getting https://github.com/jgm/pandoc/issues/168 implemented and merged, because we needed it for our slide-filters (see Work-Experience -> Development of Filters)
 - About me