Hai Dang Tran
Researcher at Max Planck Institute for Informatics- Claim this Profile
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English Professional working proficiency
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Vietnamese Native or bilingual proficiency
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Bio
Experience
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Max Planck Institute for Informatics
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Germany
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Research Services
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100 - 200 Employee
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Researcher
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Feb 2021 - Present
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Amazon
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United States
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Software Development
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700 & Above Employee
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Software Development Engineer
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Jul 2017 - Feb 2021
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Software Development Intern
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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.
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Max Planck Institute for Informatics
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Germany
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Research Services
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100 - 200 Employee
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Master Student
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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
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Coc Coc
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185 Giang Vo, Ba Dinh, Hanoi
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Java Backend Developer (full-time)
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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.
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Education
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Max Planck Institute for Informatics and Saarland University, Saarbrücken, Germany
Master, Computer Science -
FPT University
Bachelor, Software Engineering -
Hochschule Furtwangen University
Exchange Student, Computer Science -
Nguyen Trai High School for Gifted
High School, Class of specialized Informatics