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👋 Hello, I'm David Przybilla

Software Engineer - working in the Data realm (MLops, Data engineering, Infrastructure)

Working on/Interested in:

  • Python/Golang/Scala
  • 🤖 Building tools for empowering ML engineers and Data scientists
  • 🤖 Reproducibility of: Software and Machine Learning
  • 🤖 Making the ML lifecycle faster
  • 👷 Data pipelines
  • 👷 Kubernetes

📬

David Przybilla's Projects

1on1-questions icon 1on1-questions

Mega list of 1 on 1 meeting questions compiled from a variety to sources

abacus icon abacus

Counter Data structure for Golang using CountMin Sketch with a fixed amount of memory

ace icon ace

Code for "Automated Concatenation of Embeddings for Structured Prediction "

agents icon agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

anserini icon anserini

A Lucene toolkit for replicable information retrieval research

athenapdf icon athenapdf

Drop-in replacement for wkhtmltopdf built on Go, Electron and Docker

awesome-bigdata icon awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-danish icon awesome-danish

A curated list of awesome resources for Danish language technology

awesome-fukuoka icon awesome-fukuoka

List of useful places/spaces giving support for digital nomads and entrepreneurs

aws icon aws

Higher level AWS package for Go

bad-data-guide icon bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

bash-commons icon bash-commons

A collection of reusable Bash functions for handling common tasks such as logging, assertions, string manipulation, and more

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