About me - Drezil
Work
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October 2023 to ???
- You could be here. The Red Queen will get your project off the ground, too.
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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.
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Oct. 2018 to Aug. 2021:
- ML-Specialist at Jobware (Paderborn; german Job-Advertising-Platform)
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2013-2018 several jobs at my University including
- Worked 6 Months in the Workgroup “Theoretical Computer Science” on migrating algorithms to CUDA
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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
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1.0 in Modern Data Analysis
- Master course on data-analysis (time-series, core-vector-machines, gaussian processes, …)
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1.0 in Computergraphics
- Raytracing, Modern OpenGL
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1.3 in Computer-Animation
- Dual-Quarternion-Skinning, Character-Animation, FACS-Poses, etc.
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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
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Ethical Hacking
- Reverse Engineering with IDApro
Further information
Work-Experience
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Mar. 2023 to Sep. 2023:
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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
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Technologies used:
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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.)
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Emanote
- autogenerated & linked documentation of internal modules
- integrated with manual written tutorials/notes
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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)
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Infrastructure
- Organized and co-administrated the 4 Root-Servers we had
- Set up Kubernetes, Nexus, Docker, Nginx, letsencrypt-certs, dns-entries, etc..
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Clojure
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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.
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Oct. 2018 to Aug. 2021:
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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.))
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Technologies used:
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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
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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
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Python
- tensorflow
- pytorch
- sklearn
- nltk
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Haskell (currently GHC 8.6, soon GHC 8.8)
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ML-Specialist at Jobware (Paderborn; german Job-Advertising-Platform)
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2013-2018:
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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
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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
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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
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several jobs at my University including
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
- Author of Eve-Online-Interface in yesod-auth-oauth2
- Author of “New Eden Accounting Tool” (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-Experience -> Development of Filters)
- Author of 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 as layed out in Recycle your Arrays by Roman Leshchinskiy
- Raytracer in Haskell for my Computergraphics-Course
- implementation of Densely Connected Bi-Clusters-Algorithm in Haskell (Paper)
- Chemodiversity-Project at University during my masters. Complete with slideshow explaining everything.
- several other dead projects :D
Studium generale / University-Life
(What I did at university besides studying 😎 )
Committees / Student Body
- Student Member of Studienbeirat Informatik (Study-Profile Commission)
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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 (Haskell-Lecture)
Summer 16
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Fortgeschrittene funktionale Programmierung in Haskell (Haskell-Lecture)
- Lecture on YouTube (differs from link above)
- This was the “silver chalk”-lecture
- more details on the lecture
Winter 16/17
- Richtig Starten (Start Right!)
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Tutor Introduction to Machine Learning (Tutor in this Lecture)
- Was awarded Tutoring-Award of the faculty
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Remade and updated slides for Computergraphics-Lecture
- Lecture was awarded “silver chalk” among others things because of the updated slides.
Summer 17
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Fortgeschrittene funktionale Programmierung in Haskell (Haskell-Lecture)
- Same as Summer 16
- Totally reworked Exercises accompanying the lecture
- more details on the lecture