Personal Information
Organização/Local de trabalho
Stockholm County, Sweden Sweden
Cargo
Build Big Data Platform and Realtime Recommendation Engine
Setor
Technology / Software / Internet
Sobre
Highly motivated architect/engineer with extensive experience in Big Data Processing, Distributed system design, Scala, Java, C++, Python and new generation web development.
A result-oriented team player used to work in large projects and complex software environments, Hardworking, self-starter with excellent analytical, problem-solving, and communication skills. Over 12 years of experience in software design and development (10 years in Telecom related software domain).
Summary of qualifications:
• Sound knowledge of big data processing/analysis technologies, Industrial level experience in design and develop corresponding architecture and business solutions of large-scale, data inte...
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Recommender Systems In Industry
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Lessons learned from building practical deep learning systems
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A Tale of Two APIs: Using Spark Streaming In Production
Lightbend
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Kylin and Druid Presentation
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LLAP: long-lived execution in Hive
DataWorks Summit
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Kafka At Scale in the Cloud
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ETL with SPARK - First Spark London meetup
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Let Spark Fly: Advantages and Use Cases for Spark on Hadoop
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Hadoop Operations Powered By ... Hadoop (Hadoop Summit 2014 Amsterdam)
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Hadoop, the Apple of Our Eyes (這些年,我們一起追的 Hadoop)
Kuo-Chun Su
•
Há 9 anos
Personal Information
Organização/Local de trabalho
Stockholm County, Sweden Sweden
Cargo
Build Big Data Platform and Realtime Recommendation Engine
Setor
Technology / Software / Internet
Sobre
Highly motivated architect/engineer with extensive experience in Big Data Processing, Distributed system design, Scala, Java, C++, Python and new generation web development.
A result-oriented team player used to work in large projects and complex software environments, Hardworking, self-starter with excellent analytical, problem-solving, and communication skills. Over 12 years of experience in software design and development (10 years in Telecom related software domain).
Summary of qualifications:
• Sound knowledge of big data processing/analysis technologies, Industrial level experience in design and develop corresponding architecture and business solutions of large-scale, data inte...