Eugen Feller, PhD
Staff Software Engineer

Zenreach
Building C, 3500,1 Letterman Dr
San Francisco, CA 94129

Email: eugen.feller@gmail.com

http://www.linkedin.com/in/eugenfeller

News

  • Real time presence detection at scale Check out my latest blog post on how we used Kafka Streams to scale our streaming infrastructure at https://www.confluent.io/blog/real-time-presence-detection-apache-kafka-aws
    Posted Sep 25, 2018, 8:27 AM by Eugen Feller
  • New journey After one and a half wonderful years at Verizon Labs I am excited for the new journey at Zenreach!
    Posted Nov 10, 2017, 10:30 PM by Eugen Feller
  • Paper accepted at IEEE BigData 2016 Joint paper with my CMU and Ericsson colleagues on incremental matrix factorization in recommender systems accepted at IEEE BigData 2016!
    Posted Oct 16, 2016, 9:07 AM by Eugen Feller
Showing posts 1 - 3 of 19. View more »

About

I am a Staff Software Engineer at Zenreach. Prior to that, I was a Principal Software Engineer at Verizon Labs and Senior Research Engineer at Ericsson Silicon Valley Lab. I did a postdoc in the Integrated Data Frameworks Group at the Lawrence Berkeley National Lab (LBNL). I received my PhD with highest honors in Computer Science from the University of Rennes 1 (France). During the PhD I was a member of the Myriads INRIA project-team. I obtained my Bachelors and Masters of Science degrees in Computer Science from Heinrich Heine University Düsseldorf (HHU) (Germany).

Areas of Interest

Currently, I focus on the design and implementation of data processing systems and algorithms. I am also interested in performance analysis and evaluation, automated storage provisioning, data placement strategies, and life-cycle management of applications in cloud computing environments. Overall my current research and development activities are centered around the following areas:
  • Large-scale distributed systems
  • Cloud computing, Real-time big data analytics
  • Scalabiltiy, Fault tolerance, High availability
  • Virtualization, Energy-efficient resource management
  • Performance analysis and evaluation