Lalith Suresh

Lalith Suresh

About

Detail

CEO
Palo Alto, California, United States

Timeline


work
Job
school
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Résumé


Jobs verified_user 0% verified
  • Feldera
    CEO & Co-Founder
    Feldera
    Mar 2024 - Current (2 years 4 months)
  • Feldera
    Co-Founder
    Feldera
    May 2023 - Mar 2024 (11 months)
  • vmware
    Senior Research Scientist
    vmware
    Jan 2022 - May 2023 (1 year 5 months)
  • vmware
    Research Scientist
    vmware
    Oct 2017 - Jan 2022 (4 years 4 months)
  • vmware
    Post-doctoral Researcher
    vmware
    Sep 2016 - Sep 2017 (1 year 1 month)
  • Microsoft
    Research Intern
    Microsoft
    Jun 2015 - Aug 2015 (3 months)
  • Technische Universität Berlin
    PHD
    Technische Universität Berlin
    Aug 2012 - Jul 2016 (4 years)
  • Deutsche Telekom
    Research Intern
    Deutsche Telekom
    Jan 2012 - Jun 2012 (6 months)
  • C
    Research Intern
    Communication Networks and Mobility group INESCID
    Oct 2010 - Jun 2011 (9 months)
  • G
    Google Summer of Code student
    Apr 2010 - Aug 2010 (5 months)
  • Sun Microsystems
    Community Manager
    Sun Microsystems
    Jul 2009 - Jan 2010 (7 months)
  • Sun Microsystems
    Campus Ambassador
    Sun Microsystems
    Jun 2008 - Jun 2009 (1 year 1 month)
Education verified_user 0% verified
  • Technische Universität Berlin
    Doctor of Philosophy (PhD, Electrical Engineering and Computer Science
    Technische Universität Berlin
    Jan 2012 - Dec 2016 (5 years)
  • KTH Royal Institute of Technology
    Master of Science, Distributed Computing
    KTH Royal Institute of Technology
    Jan 2010 - Dec 2012 (3 years)
  • Instituto Superior Técnico
    European Master in Distributed Computing, Distributed Computing
    Instituto Superior Técnico
    Jan 2010 - Dec 2012 (3 years)
  • Malaviya National Institute of Technology Jaipur
    B.Tech, Computer Engineering
    Malaviya National Institute of Technology Jaipur
    Jan 2006 - Dec 2010 (5 years)
Projects (professional or personal) verified_user 0% verified
  • S
    Scaling HDFS Namenode
    This work aims to re-engineer the Hadoop Distributed File System (HDFS) so that it can be 1) highly available 2) horizontally scalable. This is achieved by replacing the central master server with a distributed real-time database (in our implementation, MySQL Cluster).
This is a community-created genome.