# 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    get out of date)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)