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Fabian Linzberger, Software Developer in Stockholm, Sweden
Fabian Linzberger

Software Developer in Stockholm, Sweden

Member since December 4, 2017
Fabian would characterize himself as a data science and deep learning enthusiast, a functional programmer, and a full-stack engineer with DevOps experience. He has over a decade of experience working within the industry using a variety of languages (Erlang, Haskell, Python, JavaScript, Scala, Clojure, Ruby, and more) and who enjoys working in environments that are open to creativity and values working solutions to problems above all.
Fabian is now available for hire

Portfolio

  • Schibsted
    TensorFlow
  • Sellpy
    JavaScript (React, Redux, Node.js), Python, Scikit-learn, Haskell, Keras
  • TrueAccord
    Scala, Python, Pandas, JavaScript

Experience

  • Python, 10 years
  • Erlang, 7 years
  • Haskell, 7 years
  • Functional Programming, 7 years
  • JavaScript, 5 years
  • Scikit-learn, 5 years
  • Scala, 1 year
  • Keras, 1 year
Stockholm, Sweden

Availability

Part-time

Preferred Environment

Emacs, Git, Python, Keras, TensorFlow, PyTorch

The most amazing...

...thing I've coded is an AI to play the game of Go.

Employment

  • Machine Learning Engineer

    2018 - PRESENT
    Schibsted
    • Trained and deployed ad content classification and clustering models.
    Technologies: TensorFlow
  • CTO

    2015 - 2017
    Sellpy
    • Implemented an online marketplace site from scratch for Sellpy.se/market; using React, Redux, and Immutable.js with a Node.js back-end.
    • Designed and implemented a machine learning model for the likelihood of selling secondhand goods.
    • Set up continuous deployment and a review and the prioritization process for the engineering team.
    • Migrated from a Parse platform as a service to Node.js on Heroku and other cloud services.
    • Developed and designed a recommendation system for recurring users of an online marketplace.
    Technologies: JavaScript (React, Redux, Node.js), Python, Scikit-learn, Haskell, Keras
  • Senior Software Engineer

    2014 - 2015
    TrueAccord
    • Developed and maintained an online debt collection platform in Scala and JavaScript.
    • Implemented per state time of the week and time-of-day compliance logic for calls and texting.
    • Set up metric monitoring and an alerting integration with Datadog.
    • Developed analytics for A/B testing of customer collection messages.
    • Implemented a limited rate integration for sending texts through Twilio.
    Technologies: Scala, Python, Pandas, JavaScript
  • Senior Software Engineer

    2012 - 2013
    Campanja
    • Developed and maintained the real-time tracking website/conversion tracking product in Erlang (with peaks of 3,000 requests per second).
    • Designed and implemented a batch analytics platform based on Cascalog and Amazon EMR.
    • Led a team of six engineers.
    Technologies: Erlang, Clojure, JavaScript, Ruby, R
  • Software Developer

    2010 - 2012
    Klarna
    • Rewrote and rearchitected the payment processing API.
    • Troubleshot the production system and database.
    • Designed and implemented an automated Linux configuration management system based on Opscode Chef.
    • Coached the engineering teams in how to use Git during the migration from Subversion.
    Technologies: Erlang, Git, Opscode Chef
  • Systems Engineer

    2006 - 2008
    Mayr-Melnhof Karton GmbH
    • Introduced configuration management using Puppet for about 200 Linux servers and routers.
    • Took part in a large voice over IP rollout.
    • Designed and implemented Kerberos and an LDAP infrastructure for Linux with an active directory integration.
    Technologies: Debian, Puppet, Python, VMware

Skills

  • Languages

    JavaScript, Erlang, Python, Haskell, Ruby, PureScript, Clojure, R, Scala
  • Frameworks

    Redux, Django, Express.js, Play, AWS EMR
  • Libraries/APIs

    React, Node.js, Scikit-learn, TensorFlow, Keras, Pandas, Mandrill API, SendGrid API, Twilio API, XGBoost, PostGREST
  • Paradigms

    Functional Programming
  • Other

    Deep Learning, Bayesian Statistics
  • Tools

    Git, SWIG, Ansible, RabbitMQ, AWS ELB
  • Platforms

    Docker, Heroku, Algolia, AWS Kinesis
  • Storage

    Datadog, CouchDB, Riak, Google Cloud Datastore, Google Cloud Storage, AWS S3, MongoDB, AWS RDS, PostgreSQL, MySQL
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