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Eugen Feller

from San Francisco, CA
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Related to:
Erica FellerMichael C Kaliko, 48Genya SadovskayaBenjamin Kaliko, 70Gali Sadovskaya, 46
Connected to:
Alycia A Feller, 36Amy L Feller, 46Ben Feller, 44Brittany N Feller, 33Cheryl L Feller, 67Cindy R Feller, 65Cyntia Y Feller, 40David R Feller, 69Debra A Feller, 69Elizabeth A Feller, 73

Eugen Feller Phones & Addresses

  • San Francisco, CA
  • Concord, CA
  • Sunnyvale, CA
  • San Jose, CA
  • Berkeley, CA

Work

Company: Zenreach Nov 10, 2017 to Feb 1, 2019 Position: Staff software engineer

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Université De Rennes I 2009 to 2012 Specialities: Computer Science, Philosophy

Skills

Distributed Systems • Cloud Computing • Algorithms • Linux • Java • Software Development • Computer Science • Virtualization • Big Data • Fault Tolerance • Latex • Hadoop • Python • Resource Management • Subversion • Machine Learning • High Availability • Autonomic Computing • C • Shell Scripting • Mapreduce • Scalability • Operating Systems • Oop • Design Patterns • Multithreading • Maven • Amazon Web Services • Go • Object Oriented Programming

Languages

German • Russian • English • French

Ranks

Certificate: Berkeley Leadership Accelerator

Interests

Programming • Technology • Distributed Systems • Big Data • Reading • Self Improvement • Tennis • Swimming

Industries

Internet

Resumes

Resumes

Eugen Feller Photo 1

Senior Software Engineer, Technical Lead

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Location:
San Francisco, CA
Industry:
Internet
Work:
Zenreach Nov 10, 2017 - Feb 1, 2019
Staff Software Engineer
Uber Nov 10, 2017 - Feb 1, 2019
Senior Software Engineer, Technical Lead
Verizon Labs Apr 2016 - Nov 2017
Principal Software Engineer
Ericsson Apr 2014 - Apr 2016
Senior Research Engineer
Lawrence Berkeley National Laboratory Jan 2013 - Apr 2014
Postdoctoral Researcher
Education:
Université De Rennes I 2009 - 2012
Doctorates, Doctor of Philosophy, Computer Science, Philosophy University of Düsseldorf 2008 - 2009
Masters, Computer Science University of Düsseldorf 2005 - 2008
Bachelors, Computer Science
Skills:
Distributed Systems
Cloud Computing
Algorithms
Linux
Java
Software Development
Computer Science
Virtualization
Big Data
Fault Tolerance
Latex
Hadoop
Python
Resource Management
Subversion
Machine Learning
High Availability
Autonomic Computing
C
Shell Scripting
Mapreduce
Scalability
Operating Systems
Oop
Design Patterns
Multithreading
Maven
Amazon Web Services
Go
Object Oriented Programming
Interests:
Programming
Technology
Distributed Systems
Big Data
Reading
Self Improvement
Tennis
Swimming
Languages:
German
Russian
English
French
Certifications:
Berkeley Leadership Accelerator

Publications

Wikipedia References

Eugen Feller Photo 2

Eugen Viktor Feller

About:
Born:

26 January 1871 • Lviv Oblast , Second Polish Republic , (now Ukraine )

Died:

15 November 1936 • Zagreb , Kingdom of Yugoslavia , (now Croatia )

Children:

William Feller

Work:

Feller was born in 1871, in Lviv Oblast, Second Polish Republic, to a Jewish family of David and Elizabeta ( Married and maiden names Holzer ) Feller....

Education:
Specialty:

Chemist

Area of science:

Pharmacy

Skills & Activities:
Ascribed status:

Croatian Jew • Austro-Hungarian Jew • Croatian of Ukrainian-Jewish descent

Us Patents

Method And System To Rebalance Constrained Services In A Cloud Using A Genetic Algorithm

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US Patent:
20160226789, Aug 4, 2016
Filed:
Apr 17, 2015
Appl. No.:
14/689934
Inventors:
- Stockholm, SE
Eugen FELLER - San Francisco CA, US
Julien FORGEAT - San Jose CA, US
International Classification:
H04L 12/917
H04L 29/08
Abstract:
A method in a server end station is described. The method includes performing an iteration of a rebalancing computation by selecting a set of one or more service sets for rebalancing, wherein the selecting the set of one or more service sets is based on service set constraints and host constraints; generating candidate solutions, wherein each candidate solution includes a randomized one-to-one mapping of each of the service sets to one of the hosts; performing one or more crossover operations on the candidate solutions; performing one or more mutation operations on the additional candidate solutions; selecting as a solution one of the candidate solutions that has a best fitness score, wherein a fitness score for a candidate solution is calculated based on the distribution of resources resulting from and number of migrations needed for the candidate solution; and repeating the iteration of the rebalancing computation an additional number of times.
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Eugen Feller from San Francisco, CA Get Report