
Jing Xu
Mechanical Engineer

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About me
Software Engineer, NLP specialist, Python Programming, Master degreein University of Waterloo
Education

University of Waterloo
2015 - 2018Master of Applied Science ENGINEERINGActivities and Societies: nano-material optics experiments of optical characterization of graphene structures test optical reflection and transmissions of several graphene layers on SiO2

Harbin Institute of Technology
2011 - 2013Master of Engineering - MEng Electrical, Electronics and Communications EngineeringActivities and Societies: School of Astronautics Inter satellite communication center Major: photoelectron technique Performance of semiconductor devices in space radiation environmentDesign experiments process, Estalish comparison testsTests electrical performance of the devices before and after radiationData aquasation of the experiments with Labview, anlyse data with Matlab.
Experience

Changchun Institute of Optics, Fine Mechanics and Physics, CAS
Aug 2008 - Oct 2008Mechanical Engineermanufacturing fine structure optical glass productionlearned the manufacture process of solid state lasers, diode lasers and laser components

Langxinyida Biosystem LTD,
May 2014 - Jul 2015Electrical engineer, optical designer
University of Waterloo
Sept 2015 - Feb 2019Optical reliability of Graphene based structureDirector: Dr. Hamed MajediGraphene Optical Characterization ProjectDesigned experimental project of optical reliability of graphene wavguide structuresAcqured knowledge of optical and electrical properties of nanomaterialsDesigned sofiscated optical focus system with ZEMAXData acquisition with LabView sofrtware, data analysis with Matlab programs

Uinversity of waterloo
Sept 2015 - Jun 2018Student
Self-employed
Feb 2019 - nowPython developer, NLP specialistNews Speeches Extraction, knowledge competation of BaiduUtilized Scikit-Learn Package trained the news data, and extracts the opinions and contents of ognizations and speakers.Supervisor: Mr. Minchiuan Gao (Mar 2019 to Aug 2019)Conducted research to extract the speeches and standpoints of organizations or any entity speakers from input text or news contents. Trained corpus with Word2Vec model in Python Scikit-learn library, derived keywords, and then attained the speakers and their points of views with Named Entity Recognition (NER) and Dependency Parsing (DP). • Obtained source data from database through MySQL• Acquired all words with meaning of “opinion” through analyzed data with Word2Vec Model and graph search algorithm to express indicating speeches and views.• Extracted the named entity and their perspectives through Dependency Parsing natural language software (Stanford CoreNLP)• Show the extraction results in a web page through HTML/CSS, Bootstrap and Django. Show less

IBM
Apr 2022 - nowSpeech Analytics Developer
Licenses & Certifications
- View certificate

Cloud Certified Partner
GenesysAug 2022
Languages
- chChinese
- enEnglish
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