Curriculum Vitae

About me - Drezil

Work

  • October 2023 to ???

    • You could be here. The Red Queen will get your project off the ground, too.

  • March 2023 to September 2023:

    • Worked for 2lambda
    • Silicon Valley start-up trying to beat the stock-market with fancy ML-Models
    • That work kickstarted my employment at Red Queen UG where i continue doing consulting work for 2lambda 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 (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"
    • 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

Work-Experience

  • Mar. 2023 to Sep. 2023:

    • …
    • Technologies used:
      • Clojure
        • ….
      • 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)

  • 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

  • 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
      • Development of Pandoc-Filters for effective generation of lecture-slides for Mario Botsch (Leader “Workgroup Computer Graphics”) using Pandoc & reveal.js
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

gitea

I also have a gitea-instance where one can finde more current things and backups of old.

Highlights

Studium generale / University-Life

(What I did at university besides studying 😎 )

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

Summer 16

Winter 16/17

Summer 17