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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

scalda icon scalda

Scala implementations of LDA related models

scikit-feature icon scikit-feature

oepn-source feature selection repository in python (DMML Lab@ASU)

scio icon scio

A Scala API for Apache Beam and Google Cloud Dataflow.

serverless icon serverless

Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –

session-rec icon session-rec

Python-based framework for building and evaluating session-based recommender systems.

sigil icon sigil

Standalone string interpolator and template processor

sigma-rust icon sigma-rust

Alternative and simple implementation of ErgoTree interpreter

simstring icon simstring

A Python implementation of the SimString, a simple and efficient algorithm for approximate string matching.

smart_open icon smart_open

Utils for streaming large files (S3, HDFS, gzip, bz2...)

smile icon smile

Statistical Machine Intelligence & Learning Engine

smtscala icon smtscala

Statistical Machine Translation implemented by Scala

soup icon soup

Web Scraper in Go, similar to BeautifulSoup

spark-nlp icon spark-nlp

State of the Art Natural Language Processing

ss icon ss

toy playing with ngrams & fuzzy matching in rust

stack icon stack

A set of Terraform modules for configuring production infrastructure with AWS

starspace icon starspace

Learning embeddings for classification, retrieval and ranking.

storj icon storj

Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.

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