蔡采潔
I'm a self-learning backend engineer and a cross-disciplinary learner. I like to solve problems by coding, and keep on writing clean and stable code, so that can spend less time adding the follow-up enhancement functions and error correction.
Professional Background
Current status
Employed・Open to opportunities
Profession
Other
Fields
Software
Work experience
1-2 years (4-6 years relevant)
Management
-
Skills
PythonJavaScriptCSSHTML5MatlabNode.js / Express.jsLinuxAWS EC2AWS S3MySQLRedisPugGithubGitNoSQL DatabasesfirebaseGCP Compute EngineGCP App EngineGCP
Languages
Chinese・Native or Bilingual
English・Fluent
Job search preferences
Desired job type
Full time・Interested in working remotely
Desired positions
全端/後端工程師
Desired work locations
台灣台中市
Freelance
Full-time freelancer
Work Experience
Backend Engineer
November 2019 - October 20201 yr0 mos
• Web Application development with Node.js • Import AJV validation for input and redesign the project structure • Chat room development with firebase realtime database • Stable and clean code writing for APIs and scheduling • Track and recovery other senior engineers error and refactor code • Database table design and maintain
Trainee
July 2019 - October 20194 mos
A large number of practical development, and the ability to build engineering thinking and problem-solving. Independent architecture and development, extensive debugging, performance testing and system optimization, complete solutions for large creative applications.
Assistant R&D engineer
November 2018 - February 20194 mos
Adjust deep learning models and parameters by Python, use front-end technology such as HTML, CSS to set up a page for doctors to mark the abdominal X-ray system
Trainee
February 2016 - June 20165 mos
Complete the bee and Rockman games in C# language by unity. Have more practical operations on game design concepts such as game objects, scenes, cameras, lights, components, etc. Internship hours are 551 hours.
Education
National Chiao Tung University
Master’s Degree・Bioinformatics and Systems Biology
2016 - 2018・ 3.9/4.3 GPA
Description
碩班主要學習：影像處理、機器學習等，碩論延續病理切片研究計畫，利用可解讀的特徵以演算法進行權重優化分配，並輸出將影像特徵的重要程度量化的計分卡，應用此計分卡替代機器學習以黑盒子模式進行預測的工作。
Feng Chio University
Bachelor’s Degree・Engineering and Computer Science
2012 - 2016・ 3.8/4 GPA
Description
以自己對生物科目的興趣為出發點，針對生物資訊領域作研究， 並申請科技部大專學生的專題研究計畫，其內容主要探討 B 細胞的抗原決定位的預測方法與如何提升預測準確率，在計畫完成後，將成果透過網頁型式呈現並與使用者做動態上的互動，協助分析過敏原 資料和抗原決定位的辨識工作，進而探討過敏反應與藥物的交互作用關係。
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