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Gandhi M.

@gandhim

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Big Data Engineer

$40 USD / Hour

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Indonesia (11:30 AM)

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Joined on September 11, 2008

$40 USD / Hour

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My academic research focus is in solving optimization problem using Computational Intelligence technique. My professional work focus is in large-scale data management using Hadoop and embedded system (Smart Card) programming using C. I work mainly with Java language.

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Experience

IT R&D Engineer

Jan, 2012 - Present

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13 years, 10 months

Agrakom

Jan, 2012 - Present

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13 years, 10 months

I'm part of a team whose main task is to manage large-scale data generated from the biggest online news portal in Indonesia. I work mainly using Hadoop and Java programming language.

Jan, 2012 - Present

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13 years, 10 months

Senior Software Engineer

Feb, 2011 - Dec, 2011

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10 months

Oberthur Technologies

Feb, 2011 - Dec, 2011

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10 months

I develop and maintain several applications targeted in Smart Card, using C as the programming language and Keil as the IDE. I also have a hands-on experience using various hardware debugging tools, such as Micropross and Keil emulator. I work in conformance with several 3GPP standards, such as 11.11, etc.

Feb, 2011 - Dec, 2011

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10 months

Full-Time Lecturer

May, 2005 - Jan, 2009

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3 years, 8 months

Del Polytechnic of Informatics

May, 2005 - Jan, 2009

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3 years, 8 months

I developed and taught various subjects in Informatics field, ranging from procedural programming concept using C, rapid application development using Visual Basic, distributed system programming using DCOM and CORBA, web based application development using PHP and MySQL, mobile application programming using JME, and enterprise application programming using JEE. Besides teaching, my activites involved doing research in various topics of Informatics.

May, 2005 - Jan, 2009

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3 years, 8 months

Education

National Taiwan University of Science and Technology

2009 - 2011

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2 years

M.Sc in Computer Science

2009 - 2011

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2 years

Universitas Indonesia

2000 - 2004

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4 years

B.Sc in Mathematics

2000 - 2004

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4 years

Publications

A new method for fuzzy forecasting based on two-factors high-order fuzzy-trend logical relationship groups and particle swarm optimization techniques.

IEEE

Presented on IEEE International Conference on Systems, Man and Cybernetics 2011 on Alaska.

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