Hai Dang Tran

Researcher at Max Planck Institute for Informatics
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Contact Information
us****@****om
(386) 825-5501
Location
Saarbrücken, Saarland, Germany, DE
Languages
  • English Professional working proficiency
  • Vietnamese Native or bilingual proficiency

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Experience

    • Germany
    • Research Services
    • 100 - 200 Employee
    • Researcher
      • Feb 2021 - Present

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Development Engineer
      • Jul 2017 - Feb 2021

    • Software Development Intern
      • Nov 2016 - Jun 2017

      • Validated an XML file against given XSD schema using Java library.• Checked semantic equivalence of two XML files using Hash Code and Bipartite Matching.• Built a Coral Web Service to validate XML files using the above functions.• Develop a ticketing system that alarms issues based on S3 data using Fluxo API.• Technologies: Brazil Build, Eclipse Java, Coral Web Service, Dynamo DB, Amazon S3, Fluxo API.

    • Germany
    • Research Services
    • 100 - 200 Employee
    • Master Student
      • Apr 2016 - Jun 2017

      • Conduct research on Relational Learning for Knowledge Graph in which exceptions are mined from large database of facts and positive rules. • Devise a scalable algorithm that improves the predictive accuracy of non-monotonic rule learning problem for large-scale knowledge graph database. • Successfully publish a paper in Inductive Logic Programming (ILP) 2016 conference – a premier international forum for learning from structured relational data. • Technologies: Eclipse Java, DLV, GitHub, Linux. Show less

  • Coc Coc
    • 185 Giang Vo, Ba Dinh, Hanoi
    • Java Backend Developer (full-time)
      • Jun 2012 - Mar 2015

      • Classified Internet-scale amount of Web pages using Machine Learning algorithms (e.g. Naïve Bayes) in order to filter out irrelevant pages. • Mined word phrase synonyms based on text patterns and collocation using parallel computing. • Crawled data for statistical analysis across multiple domains such as forums, news. • Technologies: NetBeans Java, Selenium, Hadoop, SVN, TRAC, Linux. • Classified Internet-scale amount of Web pages using Machine Learning algorithms (e.g. Naïve Bayes) in order to filter out irrelevant pages. • Mined word phrase synonyms based on text patterns and collocation using parallel computing. • Crawled data for statistical analysis across multiple domains such as forums, news. • Technologies: NetBeans Java, Selenium, Hadoop, SVN, TRAC, Linux.

Education

  • Max Planck Institute for Informatics and Saarland University, Saarbrücken, Germany
    Master, Computer Science
    2015 - 2017
  • FPT University
    Bachelor, Software Engineering
    2007 - 2012
  • Hochschule Furtwangen University
    Exchange Student, Computer Science
  • Nguyen Trai High School for Gifted
    High School, Class of specialized Informatics
    2004 - 2007

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