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鍾詩柔
RESEARCHER
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鍾詩柔

RESEARCHER
你好,我是鍾詩柔,目前剛從台灣大學生醫工程所電子組完成學業,大學為長庚電機系。 對於網路基本架構、電腦視覺影像分析、演算法分析...等熟悉,也曾與台大醫學院合作,具有臨床實驗操作和資料統計相關經驗,在大學研究中曾發過研究論文並發表在PLoS one。在英文方面,曾到加拿大遊學、並在實驗室皆以英文口頭報告,因此有良好的英文口說與報告經驗。 對於前端軟體設計、建構或後端的資料傳送有相當的熱情與享受裏頭的過程,另外在影像視覺相關的演算法分析也有一定的了解,詳細經驗與履歷在附件中提供。
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遊麒科技股份有限公司
National Taiwan University
台灣台北市

Latar Belakang Profesional

  • Status sekarang
    Sudah bekerja
  • Profesi
    Front-end Engineer
  • Bidang
    Software
  • Pengalaman Kerja
    2-4 tahun (relevan 2-4 tahun)
  • Management
    Saya berpengalaman mengelola 1-5 orang
  • Skil
    WEB DEVELOPMENT AND DESIGN
    python
    JavaScript / ES6 / jQuery
    React.js
    Webpack
    HTML5/CSS/JavaScript/Ajax
    NodeJS/Express
    JavaScript
    Vue
    Angular
    RWD網頁設計
  • Bahasa
    English
    Menengah
  • Pendidikan tertinggi
    Master

Preferensi pencarian kerja

  • Jenis pekerjaan yang diinginkan
    Paruh waktu
    Hanya bekerja jarak jauh
  • Jabatan pekerjaan yang diinginkan
    前端工程師 Front-End Developer
  • Lokasi pekerjaan yang diinginkan
  • Bekerja lepas
    Pekerja lepas paruh waktu

Pengalaman Kerja

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系統開發

07/2020 - Sekarang
前端工程師 -> 網頁開發(React, Angular, Vue), RWD, RESTful api, GCP串接, 使用firebase(hosting, functions, firestore), 中信hicloud(Caas), AWS(EC2, S3)

Graduate Research

08/2017 - 01/2020
2 yrs 6 mos
. Researched used auto-image processing by Speckle tracking software with API and image similarity algorithm in C sharp. . Used correlation coefficient method which involved reference and comparison images with matching and searching. . Added surrounding points with linear regression and simple algorithm can increase the accuracy and decrease searching-time.

NTU, Department of Electrical Engineering

08/2018 - 07/2019
1 yr 0 mos
. Improved the skill of biomedical signal processing from ECG, EEG, EMG and wearable device by designing circuit of numerous filters, amplifiers and writing android studio program. . Operated instrument of NI ELVIS, arduino with bluetooth, app inventor, android studio and BIOPAC.

COMPUTER VISION AND MACHINE LEARNING

08/2018 - 01/2019
6 mos
• Learned the stereo matching which creating disparity map assignment achieved via ”winner-take all”. • Implemented the projecting geometry which estimating homography and warping in 3D graphics. • Learned feature detection and matching which distinguishing faces and detecting the position of objects. • Trained machine learning model which finding the letters automatically.

WEB DEVELOPMENT AND DESIGN

08/2018 - 01/2019
6 mos
• Implemented ”flappy bird” projects by modules as p5.js. • Mixed sound, acceleration of gravity on bitds and random appearing pipes’ height make more fun. • Implemented ”todo-list, Calculator and static blog” projects by modules as React.js, bootstrap and reactstrap. • Construct ADD/ UPDATA/ DELETE users, posts and subscriptions in chat box based on GraphQL by react-apollo (Query, Mutation), and Node.js

Undergraduate Research

06/2015 - 06/2016
1 yr 1 mo
. Researched means of analyzing the backscattered statistics Nakagami imaging in Matlab with Field II module. . The paper was published in 2017 on PLoS one.

Edukasi

Master
M.S. IN BIOMEDICAL ELECTRONICS AND BIOINFORMATICS
2017 - 2020
Sarjana
B.S. IN ELECTRICAL ENGINEERING
2013 - 2016