David Przybilla
Software Engineer at Chainlink Labs
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolDavid Przybilla is a pragmatic software engineer with 13 years of experience building backend, infra and ML-enabled systems, currently advancing blockchain and data tooling at Chainlink Labs from Tokyo. He has led ML teams at Optimizely, productionized recommendation systems and scalable A/B pipelines handling millions of interactions, and built reproducible ML infrastructure and DataOps platforms in both startup and enterprise contexts. A polyglot in Python and Go with deep NLP roots (MS in Computational Linguistics), he has contributed to notable open-source projects such as DBpedia Spotlight and added Spanish support to the Natural library. David blends hands-on engineering—real-time ingestion at HENNGE and infrastructure-as-code guidance—with mentoring and cross-team integration, and maintains an active interest in speeding ML lifecycles and reproducible data science.
14 years of coding experience
12 years of employment as a software developer
Software Engineer, Computer Software Engineering, Software Engineer, Computer Software Engineering at Universidad del Valle (CO)Master of Science (MS), Computer Linguistics, Master of Science (MS), Computer Linguistics at Universität des Saarlandes
English, German, Spanish, Japanese
Stackoverflow
830reputation
46kreached
20answers
19questions
Github Skills (21)
tokenize10
java10
scala10
javas10
tokenizer10
junit10
natural-language-processing10
jtest10
nlp10
javascript9
algorithm7
algorithms7
data-structure7
data-structures7
xml6
Programming languages (14)
Github contributions (5)
dbpedia-spotlight/dbpedia-spotlight
Jan 2014 - Mar 2015
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:17 commits, 3 PRs, 1 push in 1 year 2 months
Contributions summary:David primarily focused on improving the core functionality of the DBpedia Spotlight project, specifically related to stemming and disambiguation. They added and fixed tests for the SnowballStemmer, ensuring its correct implementation. Additionally, the user made several changes to the core disambiguation logic, particularly in the `SpotlightModel` and `DBTwoStepDisambiguator` classes, demonstrating a focus on the backend logic of the project. The user also made a fix for a bug related to space in FSA tokenizer, and added and refactored the FSA testing.
dbpediadbpedia-spotlightnlpsemantic-webentity-linking
NaturalNode/natural
Nov 2012 - Nov 2012
general natural language facilities for node
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 1 day
Contributions summary:David primarily contributed to adding Spanish language support for the `natural` natural language processing library. Their work involved adding a stemmer, stop words, and a tokenizer specifically for the Spanish language. This included implementing the core stemming logic, providing a list of stop words, and creating a tokenizer tailored for Spanish text. The contributions extended the library's capabilities for natural language processing tasks in Spanish.
nlpkebab-casecorenlpfacilitiesnatural-language
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