Resume

I’m a software engineer and architect with a focus on distributed systems, machine learning and data science. I combine solid software engineering skills with good machine learning know-how to ensure that developed machine learning solutions also run reliably in production and are maintainable. I’m passionate about technology, a continuous learner and a contributor to several open source projects. I enjoy working in teams and helping others to meet project goals more effectively.

Specialities

Distributed systems, system integration, machine learning, deep learning, data science, data-intensive applications, event sourcing and CQRS, event stream processing, event-driven architectures, message-driven architectures, resilience, scalability, high availability, functional programming, object-oriented programming, reactive programming.

Work experience

See also Stories for more details.

Since 04.2018, Freelance machine learning engineer

MerlinOne, https://merlinone.com

  • Development of a scalable face recognition system. Usage of deep neural networks for face detection and learning of face embeddings. One-shot learning of a person’s identity and face recognition via nearest neighbor search in embedding space. Scalability via data parallelism.
  • Responsible for all machine learning and software engineering aspects of the project including deployment to production environments.

Since 04.2011, Freelance software engineer, machine learning engineer and data scientist

Self-employed, http://www.martin-krasser.de

  • Software development and consulting services with a focus on distributed systems, system integration, data-intensive applications, machine learning and data science.
  • Sabbatical year from 05.2017 to 03.2018 to extend my knowledge about machine learning, data science, statistics and mathematics.

02.2017 - 03.2018, Freelance software engineer and consultant

fine.lines.software GmbH, https://bullet.io

  • Design and implementation of a distributed system architecture based on event sourcing with explicit causality that also includes mobile devices.
  • Consulting activities and development of prototypes.

09.2014 - 08.2017, Freelance software architect and engineer

Red Bull Media House, http://www.redbullmediahouse.com

  • Global distribution of the in-house digital asset management platform. Responsible for architecture, design and implementation.
  • Conception and development of Eventuate, a toolkit for event sourcing and event collaboration at global scale with causal consistency.

10.2015 - 07.2017, Freelance software architect and engineer

agido GmbH, http://www.agido.com

  • Architecture and design consulting for an online sports betting web application with an event sourcing and event stream processing architecture.
  • Usage of Eventuate as technical basis for the web application backend. Development of streaming data analytics extensions for Eventuate.

10.2013 – 02.2014, Freelance software engineer

Lightbend, http://www.lightbend.com/ (formerly Typesafe)

03.2012 – 10.2013, Freelance software architect and engineer

Eligotech BV, http://www.eligotech.com

  • Development of an E-Wallet management web service for customers in the online gambling industry.
  • Conception and development of Eventsourced, an open source project for building reliable, scalable and distributed event-sourced applications in Scala.

02.2011 – 04.2011, Software architect and engineer

Talend, http://www.talend.com

  • Development of scalability and high-availability concepts and prototypes for the Talend Integration Factory.

01.2005 – 01.2011, Lead software architect and engineer

InterComponentWare AG, https://icw-global.com/

  • Conception and development of the Open eHealth Integration Platform (IPF), an eHealth integration platform on top of Apache Camel. Development and deployment of IPF applications in several international customer projects.
  • Development of LifeSensor, a web-based personal health record.

09.2000 – 12.2004, Senior software architect and engineer

LION bioscience AG, http://www.lionbioscience.com

  • Development and optimization of hierarchical clustering algorithms for the drug discovery pipeline of an international pharmaceutical company.
  • Development of an integration platform for globally distributed chemical compute services.
  • Development of an activity tracking web application for pharmaceutical research projects.

02.1999 – 08.2000, Software developer, Research assistant

CAME, University of Salzburg, http://uni-salzburg.at

  • Development of algorithms and software for ab-initio protein structure prediction. Application of statistical mechanics to evaluate generated protein structures.

07.1998 – 01.1999, Software developer

Austrian Red Cross, http://www.roteskreuz.at/

  • Development of a patient transportation management system.

Tools

  • Programming languages: Scala, Java, Python, C/C++, Haskell.
  • Machine learning: scikit-learn, Tensorflow, Keras, Spark MLlib, R, PyMC3.
  • Stream processing: Spark Streaming, Akka Streams, Kafka Streams.
  • Databases: MySQL, PostgreSQL, Oracle, Cassandra, HBase, DynamoDB, MongoDB, LMDB, LevelDB, …
  • Cloud computing: Amazon Web Services and Google Cloud Platform.
  • Java SE and Java EE stack plus many other Java libraries and frameworks.
  • Lightbend Reactive Platform plus many other Scala libraries and frameworks.
  • Confluent Platform (Apache Kafka and its ecosystem) and Reactive Kafka.

Open source projects

The following is an incomplete list of open source projects I’m currently working on or worked on in the past. See also Stories for some details and my Github account for a complete list.

  • Eventuate. A toolkit for event sourcing and event collaboration at global scale with causal consistency. Founder and lead developer during my work at the Red Bull Media House and active contributor today.
  • Machine learning projects such as
    • Bayesian machine learning. Collection of notebooks related to Bayesian machine learning. Extended when I’m writing new articles on that topic.
    • Face recognition. An introduction to face recognition with deep neural networks and a lightweight example implementation.
    • Machine learning basics. Stanford machine learning course exercises re-written in Python and scikit-learn.
  • Akka. A toolkit for building highly concurrent, distributed, and resilient message-driven applications for Java and Scala. Contributed Akka Persistence and Akka Camel.
  • Streamz. A combinator library for integrating Functional Streams for Scala (FS2), Akka Streams and Apache Camel. Personal project that I’m still actively developing. Functional programming API on top of Apache Camel and successor of Akka Camel.
  • akka-persistence-cassandra. Storage plugin for Akka Persistence. Started as personal project and now officially maintained by Lightbend.
  • akka-stream-eventsourcing. Personal project that brings to Akka Streams what Akka Persistence brings to Akka Actors: persistence via event sourcing. This is experimental work, inactive at the moment.
  • Eventsourced. A library for building reliable, scalable and distributed event-sourced applications in Scala. Founder and lead developer during my work at Eligotech. Evolved into Akka Persistence and is not maintained any more.
  • Open eHealth Integration Platform. A platform for developing eHealth integration solutions. Founder and lead developer during my work at ICW.
  • Apache Camel. An integration framework based on known Enterprise Integration Patterns. Contributed several integration components as well as core functionality during my work on the Open eHealth Integration Platform.

Articles

Talks

Certificates

Education

  • 1997, MS in Chemistry (Mag. rer. nat.) with distinction, Karl-Franzens Universität Graz.
  • 1996, Various courses in computer science, Karl-Franzens Universität Graz.