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@pradeebantt
Member since March 18, 2011
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Pradeeban

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Pradeeban Kathiravelu is an Open Source Evangelist. He is a PhD Researcher at INESC-ID Lisboa/Instituto Superior Técnico. He holds a Master of Science degree (Erasmus Mundus European Master in Distributed Computing, a double degree master program) from Instituto Superior Técnico, Lisbon, Portugal, and KTH Royal Institute of Technology, Stockholm, Sweden. He also holds a Bachelor of the Science of Engineering (Hons) degree, majoring Computer Science & Engineering, with a first class from the University of Moratuwa, Sri Lanka [Batch 2010]. He is also an old boy of Royal College, Colombo [A/L 2005]. He is highly interested in FOSS development, and is an active participant of the Google Summer of Code (GSoC) program since 2009. His research interests include Software-Defined Networking, Distributed Computing, Cloud Computing, and Data mining.
$20 USD/hr
2 reviews
3.2
  • 75%Jobs Completed
  • 100%On Budget
  • 100%On Time
  • 33%Repeat Hire Rate

Portfolio

Recent Reviews

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    “A very professional and effective guy, Thanks!!”

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    “Fantastic person to work with. Great communication and delivered project on time. Would not hesitate to work with again.”

Experience

Software Engineer

Sep 2010 - Jul 2012 (1 year)

o A core member of the WSO2 Cloud Technologies team. o Worked with WSO2 Carbon - the open source SOA Enterprise Middleware Platform and WSO2 Stratos - the Cloud Middleware Platform. o Have worked with the major releases of the WSO2 Platform as a Service. o An active developer for WSO2 Cloud Beta, based on WSO2 Stratos - 1.0.0 and WSO2 StratosLive, based on WSO2 Stratos - 1.5.1 and 1.5.2. o Experienced in Amazon Web Services APIs (Amazon EC2, ELB, Auto-Scaling). o Worked on WSO2 Load Balancer for load

Committer

Apr 2010

Google Summer of Code Student, OMII-UK [2010] - "Developing alternative presentation layers for Open Grid Services Architecture - Data Access and Integration (OGSA-DAI)".

Open Source Technology Evangelist

Apr 2009

Have been evangelizing the open source technologies offline via events and speeches, and offline, via mentoring, blogging, and social media.

Contributor, Committer and Developer

Apr 2009

Committer - AbiWord Word Processor [Since April 2009]. Google Summer of Code - Successful participant for 4 consecutive years. o Mentor, AbiWord [2012] - Mentored the project, "Dialog Improvements". o Mentor, AbiWord [2011] - Mentored the project, "Implement Hyphenation for AbiWord using Enchant". o Student, OMII-UK [2010] - "Developing alternative presentation layers for Open Grid Services Architecture - Data Access and Integration (OGSA-DAI)". o Student, AbiWor

Trainee Software Engineer

Sep 2008 - Jun 2009 (9 months)

o Developed an Event Monitoring System for the LEAD Services of Extreme! Labs of Indiana University, using Java and Apache web services. o Involved in testing WSO2 Carbon with the QA team. o Worked with the WSO2 Carbon development team for the release of the platform.

Education

Honours Degree of Bachelor of the Science of Engineering (Computer Science & Engineering)

2006 - 2010 (4 years)

Erasmus Mundus European Master in Distributed Computing (EMDC)

2012 - 2012 (1 month)

Certifications

Best Performer, Australian National Chemistry Quiz (Senior) (2004)

The Royal Australian Chemical Institute

Higher Distinction in Australian National Chemistry Quiz (Junior) (2002)

The Royal Australian Chemical Institute

Publications

Horizontal Format Data Mining with Extended Bitmaps

Authors: Buddhika De Alwis, Supun Malinga, Kathiravelu Pradeeban, Denis Weerasiri, Shehan Perera Analysing the data warehouses to foresee the patterns of the transactions often needs high computational power and memory space due to the huge set of past history of the data transactions. Apriori algorithm is a mostly learned and implemented algorithm that mines the data warehouses to find the associations. Frequent item set mining with vertical data format has been proposed as an improvement over the basi

Mooshabaya: mashup generator for XBaya

Authors: Buddhika De Alwis, Supun Malinga, Kathiravelu Pradeeban, Denis Weerasiri, Shehan Perera Analysing the data warehouses to foresee the patterns of the transactions often needs high computational power and memory space due to the huge set of past history of the data transactions. Apriori algorithm is a mostly learned and implemented algorithm that mines the data warehouses to find the associations. Frequent item set mining with vertical data format has been proposed as an improvement over the basic

Certifications

  • US English Level 1
    98%
  • Blogging 1
    88%
  • Academic Writing
    78%
  • Cloud Computing 1
    75%
  • Java Level 1
    75%
  • UK English 1
    75%

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