Ledion Bitincka

Ledion Bitincka

About

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Co-Founder & CTO
United States

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Résumé

Jobs verified_user 0% verified
  • Cribl
    Co-Founder & CTO
    Cribl
    Apr 2017 - Current (9 years 7 months)
    Data Resieved
  • Splunk
    Advanced Development Architect
    Splunk
    Oct 2014 - Apr 2017 (2 years 7 months)
    Guide future architecture by identifying, prototyping and developing next generation technologies to accelerate Splunk's disruptive capabilities.
  • Splunk
    Principal Architect
    Splunk
    Nov 2013 - Apr 2017 (3 years 6 months)
  • Splunk
    Sr Software Architect
    Splunk
    Oct 2011 - Apr 2017 (5 years 7 months)
    Design and lead the implementation of Hunk, Splunk Analytics for Hadoop. Hunk is a new product from Splunk which combines the power of Splunk's processing language with the scale and power of Hadoop. What started as a side project and proof of concept soon grew into a disruptive product with it's own development/qa/perf team.

    Read more about Hunk: http://www.splunk.com/view/hunk/SP-CAAAH2E
  • Splunk
    Search and Alerting Tech Lead
    Splunk
    Jul 2007 - Apr 2017 (9 years 10 months)
    Member of the Search, Reporting and Alerting team. Responsible for leading the effort in redesigning the scheduler and real-time alerting subsystem. Currently working on the acceleration of our reporting framework. Other areas of work include improving and expanding: Splunk's search time field extractions, transaction detection, saved searches, implementing search commands using our map-reduce framework, real-time alerts etc...
  • LookSmart
    Software Engineer
    LookSmart
    Feb 2006 - Jul 2007 (1 year 6 months)
    design/implement highly-scalable/high-precision/robust machine learning algorithms for web-page classification using JAVA technology
    identify and solve scalability issues on the contextual advertising product
    design/implement performance metric collection and analysis
  • Harvard University
    Scientific Consultant
    Harvard University
    Aug 2005 - Jan 2006 (6 months)
    Design and implement computer vision algorithms to detect individual cells in microscope images
    Extract quantitative data from images to perform further analysis
  • T
    Founder & Systems Engineer
    Triangulus Communications
    Jan 2005 - Aug 2007 (2 years 8 months)
    Design the roadmap for a VoIP start up and work on building a robust VoIP platform. Some of my responsabilities include
    Configure and customize Asterisk (The Open Source PBX)
    Desinged and implemented:
    -Billing platform capable of supporting Asterisk farms.
    -Customer payment system interfaced with Paypal
    -Back-end control and statistics tools
  • UNIVERSITY OF CALIFORNIA SAN FRANCISCO
    Assistant Specialist
    UNIVERSITY OF CALIFORNIA SAN FRANCISCO
    Jan 2004 - Aug 2005 (1 year 8 months)
    Study of S. Cerevisiae protein degradation rates. Design and develop software tools for image data extraction and statistical data analysis.
  • U
    Software Engineer
    US Open Health Care
    Apr 2001 - Aug 2003 (2 years 5 months)
    Software Development for handeld devices, Blackberry(RIM OS) and IPAQ (Windows CE) devices using C/C++
  • Montclair State University
    Assistant Web Developer/Programmer
    Montclair State University
    Jun 2000 - May 2003 (3 years)
    Remote Database access using Java servlets and CGI technology
    .Set up and administered Web/Database (PostgreSQL) Server, RedHat OS. Helped troubleshoot on-campus network access problems.
Education verified_user 0% verified
  • Montclair State University
    BS, Computer Science, Concentration in Professional Computing
    Montclair State University
    Sep 1999 - May 2003 (3 years 9 months)
Publications verified_user 0% verified
  • O
    Optimizing Data Analysis with a Semi-structured Time Series Database
    OCT
    In this paper, we present Splunk, a semistructured time series database that can be used to index, search and analyze massive heterogeneous datasets. We share observations, lessons and case studies from real world datasets, and demonstrate Splunk’s power and flexibility for enabling insightful data mining searches.
  • Sep
    Experiences with workload management in splunk
    Sep
    Organizations are constantly overwhelmed with challenges of big data management resulting from data floods produced by various computer systems and components. Mining this data deluge can produce invaluable insights for the business and for operations. However, the organization must first tackle issues of efficient data storage and retrieval. In this paper, we describe unique qualitative characteristics of big data, challenges posed by big data workloads, and how Splunk both manages such workloads and facilitates customers' workload management problems.
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