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4-6 years
6-10 years
10-15 years
More than 15 years
Past
管理師 @台灣之星
專案經理、產品經理、系統分析師
Within one month
績追蹤、核算獎金 - 業績達成率連續 6 個月超過 95%，電銷人員擴編一倍 續約操盤與分眾經營：用戶各面向分析、促案活動規劃、分眾廣宣溝通、設定專案與價格 - 續約目標達成率 100% 以上 技能 SQL Tableau ETL Google Workspace Markdown Figma 學歷 東吳大學心理學系，2012 ~ 2017 景美女中，2009 ~ 2012
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東吳大學
・
心理學系
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
財團法人資訊工程策進會
・
App 開發Employed
・
Ready to interview
Full-time / Remote Only
6-10 years
國立聯合大學
・
資訊工程學系
Retail Sales Associate @Automobili Lamborghini Store2021 ~ 2023
・
Sales Associate
Within three months
utilizing efficient time management skills to stock and organize inventory. • Streamlined team operations by 25% through effective team collaboration and training of 5 sales associates. • Coordinated store displays and conducted weekly merchandise audits. Boosted sales by 25% through creative display arrangement and identified slow-moving products for markdown. Sales Associate • Jack & Jones MayAugust 2017 • Raised customer satisfaction by 95% through providing expert product knowledge and promptly addressing all inquiries. • Achieved perfect customer order processing accuracy, leading to improved customer satisfaction and a 15% boost in sales • Consistently exceeded customer satisfaction goals by skillfully handling and
Employed
・
Ready to interview
Full-time / Not interested in working remotely
6-10 years
The Higher Institute for Tourism and Hotels (EGOTH) in Alexandria
・
85%
Past
UI 設計師 @希格斯資訊科技有限公司2019 ~ 2022
・
UIUX設計師
Within one month
— 吳映嬅 Claire 擁有六年經驗的 UI 設計師，可獨立完成專案且重視團隊合作，擅於邏輯性分析脈絡，並在團隊中提出有效的解法。 工作中曾參與 APP 微互動設計，透過原型工具的 Demo 與工程師的溝通，提昇使用者體驗。 對使用者研究很有興趣，曾參加過 UX
Reputation Credits1
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中正大學
・
資訊管理學系
Full-stack Developer @JOBALL找專家-專業人才外包網2020 ~ Present
・
軟體開發相關
Within one month
立開發的 Side Projects: 已完成 1 個專業人才外包網「 JOBALL 找專家 」 2 款曾上架的 iOS APP ( JOBALL接洽 、 NEEDS開箱 ) 1 個架站平台「 Website Builder (Web) 」 1 個編輯器「 Markdown Editor (Web) 」 1 個 內含輕量化前端框架的 JS 庫 1 個 加速開發的 Swift 庫 2 個 iOS 範例、40 個網站範例 ( GitHub ) 工作經歷 iOS & Full-Stack Developer JOBALL找專家
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chiayi University
・
應用數學系
Assistant Manager @MOXA2013 ~ Present
・
Front End Lead
Within one month
Tool Sketch Zeplin Marvel Miro Editor / IDE Vim / Neovim VScode Version Control Service Github Gitlab Bitbucket Continuous Integration Tool TravisCI CircleCI DroneCI Jenkins GitlabCI Deploy Tool Vercel Heroku Netlify Agile Jira Software Others Docker Chrome DevTools Mac OS / Ubuntu / Debian / Windows 10 Zsh / Bash Markdown ngrok Slack Trello Notion Npm / Yarn / Pnpm Confluence Volta 有意願或正在修行的東西 Go Soft skill 工作經歷 MOXA，2013 年 11 月 - 至今 1. 從一個人到帶領兩個前端
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
元智大學
・
資訊管理
Project Manager @華奧科技有限公司2021 ~ Present
・
專案經理、產品經理、系統分析師
Within one month
資源調度，進一步評估開發/營運風險，從而預估開發成本、營運成本與補償計畫的預備成本． 工具使用 文件製作：axure、xmind、visio、Drawio、markdown工具(gitbook、hackmd、notion)、AI文件工具 協作服務與溝通平台：trello、slack、jira、google協作平台 版本管理:github、gitlab 資料庫與工具:MySQL、workbench IDE:VS code、sublime 工作經歷
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
真理大學
・
資訊工程
Software Engineer @Hewlett Packard Enterprise (HPE)2021 ~ Present
・
Senior Software Engineer
Within two months
In-house image algorithm performance evaluation tool A test tool for check algorithm performance. Using Smart Phone Sensor Data for Human Activity Recognition Recognize human activity by using smartphone sensors information. Automation build tool An automated tool is used to update test status and data preprocessing In-house web A website is used to allow product stakeholders to see the product testing status and schedule at any time. Skills Program language C/C++ C# Python SQL HTML Markdown Platform Visual Studio code Unreal Unity Pychar Language Chinese English(TOEIC Listening and Reading: 610)
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
・
Master of Computer ScienceEmployed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
國立高雄應用科技大學
・
資訊管理The Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Project / Product Management, Software Engineer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Medical Devices, SaaS / Cloud Services
Work experience
1-2 years
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Fluent
Chinese
・
Native or Bilingual
Job search preferences
Positions
軟體工程師
Job types
Full-time
Locations
Taipei, 台灣, Kaohsiung City, 台灣, Hsinchu City, 台灣, Taichung, 台灣, Tainan, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
國立成功大學
Major
醫學資訊
Nero Un (Chi-Hin, Un) | Email: [email protected] | Tel: +886 966-031-805
EXPERIENCE
Software Engineer | AcuSense BioMedical Technology | Sep 2021 - Sep 2022
- Intelligence Systems for Predicting the Risk of Intradialytic Hypotension
- Developed Software as a Medical Device (SaMD) product that uses Machine Learning and Deep Learning algorithms to predict the risk of hemodialysis complications. This product reduced the probability of complications by 30% in 6 months for 70+ patients. Trained classification models with three years of clinical data for clinical trials, achieving ROC-AUC and sensitivity of 93% and 90%, respectively. Deployed the service on Ubuntu using Flask, MSSQL, and Docker, with Web APIs for a single page application (SPA) and API documentation written in Markdown.
- Developed Software as a Medical Device (SaMD) product that uses Machine Learning and Deep Learning algorithms to predict the risk of hemodialysis complications. This product reduced the probability of complications by 30% in 6 months for 70+ patients. Trained classification models with three years of clinical data for clinical trials, achieving ROC-AUC and sensitivity of 93% and 90%, respectively. Deployed the service on Ubuntu using Flask, MSSQL, and Docker, with Web APIs for a single page application (SPA) and API documentation written in Markdown.
- Telehealth Platform for Heart Failure
- Designed and developed a telehealth platform to remotely assist medical staff in tracking the health status of heart failure patients. Conducted clinical user interviews and created mockups using Figma to ensure the system's specifications aligned with user needs. Built Web APP components and services with connecting APIs via Angular 14, and deployed the system using NGINX and CloudFlare to serve a district hospital.
- Medical Quality Monitor Dashboard
- Developed a dashboard that visualizes clinical dynamics, statistics, and dialysis information to aid medical quality control for nurses and the doctor director. Created the dashboard using Prometheus, Grafana, and MSSQL, with the ability to statistically analyze time-series data for vital signs, medication records, and dialysis information for 200+ hemodialysis patients.
- IOT Multiple Beds Vital Sign Monitor System
- Validated a BLE device and RPI IoT connectivity system to monitor vital signs for 60+ patients across 6 wards during a clinical trial. Analyzed physiological data (heart rate, blood oxygen) from 400+ hemodialysis treatments to assist in clinical trial studies.
Technical Project Manager | AcuSense BioMedical Technology | Sep 2020 - Sep 2022
- Interviewed dialysis ward staff and medical professionals to define AIoT ward monitoring system requirements. Wrote feasibility specifications and ensured they aligned with user needs.
- Planned and designed medical AI products, including conducting clinical user interviews, developing minimum viable products, and writing conferences and journal papers. It ensured alignment with regulatory requirements, such as FDA guidelines.
- Traced a medical quality improvement project for a district hospital by analyzing retrospective data from hemodialysis wards. We utilized SPSS and Excel to perform statistical analysis and identify areas for improvement in medical quality. Presented findings and recommendations to medical staff.
- Conducted clinical validation trials for TFDA class II medical devices, including writing software validation test reports, risk assessment reports, usability analysis reports, and user manuals.
Development Intern | BenQ Medical Center Suzhou | Jul 2019 - Aug 2019
- Developed a drug search statistical report function using C# and PLSQL for the 23 pharmacy staff of PIVAS (Pharmacy Intravenous Admixture Services). This tool provided reliable, timely information for the pharmacy team, improving their ability to deliver effective care. Also responsible for ongoing maintenance and troubleshooting of the tool.
- Conducted statistical analysis and created visual presentations using Power BI to analyze and report on hospital performance. Reports were provided to administrative center staff to assist in decision-making and improve overall hospital operations.
EDUCATION
National Cheng Kung University | Institute of Medical Informatics | 2021 - 2023
- GPA: 4/4.3
- Laboratory: Biomedical Ultrasound System Lab.
- Research fields: Medical informatics system, clinical time-series data analysis, medical image processing
- Thesis topic: Based on Ensemble Learning and Deep Learning methods to predict the risk of intradialytic hypotension.
Kaohsiung Medical University | Healthcare Administration and Medical Informatics | 2016 - 2020
- KMU Wind Orchestra | Director (2017-2018)
Leaded members to win the 2018 National Student’s Music Contest in R.O.C.(Taiwan) of the university's southern groups, the High Distinction Award.
KMU Student Association of Department | Vice President (2017-2018)
COMPETITION
- 2020 ATONA Case Competition in Taiwan (ATCC)- Carrefour Group - 3rd
- 8th KMU Innovation and Entrepreneurship Challenge - 3rd (Creative Group)
- 7th KMU Innovation and Entrepreneurship Challenge - Merit Award (Startup group)
- 2018 National Central University Intelligence Medical Assistive Device - Merit award
OTHERS
Publication
The New Method of Feature Selection for Intradialytic Hypotension Prediction using Machine Learning｜IEEE 2021 ECBIOS Conferences
Differencing Time Series as an Important Feature Extraction for Intradialytic Hypotension Prediction using Machine Learning｜IEEE 2021 ECBIOS Conferences
- PREDICTION METHOD AND SYSTEM OF LOW BLOOD PRESSURE ｜US invention patent｜No.17500921
- 低血壓的預測處理方法與系統｜TW invention patent｜No.I792333
SKILLS
Tech Stack
[ Programming language ]
Python, SQL, JavaScript, TypeScript, HTML, CSS
[ Frontend ]
Angular, Ant-Design(NG-Zorro)
[ Backend ]
Flask, MSSQL, PostgreSQL
[ Machine Learning ]
TensorFlow-Keras, Sci-kit learn, MLflow, TensorBoard, MLops architecture design
[ Others ]
GitHub/ Git, Postman, Grafana, Docker, NGINX, Raspberry Pi
Design Tools
Figma
Adobe Illustrator
Adobe Photoshop
Whimsical
Project Management
Notion
Google workspace
Trello
Define technical specifications for business logic
Execute clinical trial for medical device validation
Nero Un (Chi-Hin, Un) | Email: [email protected] | Tel: +886 966-031-805
EXPERIENCE
Software Engineer | AcuSense BioMedical Technology | Sep 2021 - Sep 2022
- Intelligence Systems for Predicting the Risk of Intradialytic Hypotension
- Developed Software as a Medical Device (SaMD) product that uses Machine Learning and Deep Learning algorithms to predict the risk of hemodialysis complications. This product reduced the probability of complications by 30% in 6 months for 70+ patients. Trained classification models with three years of clinical data for clinical trials, achieving ROC-AUC and sensitivity of 93% and 90%, respectively. Deployed the service on Ubuntu using Flask, MSSQL, and Docker, with Web APIs for a single page application (SPA) and API documentation written in Markdown.
- Developed Software as a Medical Device (SaMD) product that uses Machine Learning and Deep Learning algorithms to predict the risk of hemodialysis complications. This product reduced the probability of complications by 30% in 6 months for 70+ patients. Trained classification models with three years of clinical data for clinical trials, achieving ROC-AUC and sensitivity of 93% and 90%, respectively. Deployed the service on Ubuntu using Flask, MSSQL, and Docker, with Web APIs for a single page application (SPA) and API documentation written in Markdown.
- Telehealth Platform for Heart Failure
- Designed and developed a telehealth platform to remotely assist medical staff in tracking the health status of heart failure patients. Conducted clinical user interviews and created mockups using Figma to ensure the system's specifications aligned with user needs. Built Web APP components and services with connecting APIs via Angular 14, and deployed the system using NGINX and CloudFlare to serve a district hospital.
- Medical Quality Monitor Dashboard
- Developed a dashboard that visualizes clinical dynamics, statistics, and dialysis information to aid medical quality control for nurses and the doctor director. Created the dashboard using Prometheus, Grafana, and MSSQL, with the ability to statistically analyze time-series data for vital signs, medication records, and dialysis information for 200+ hemodialysis patients.
- IOT Multiple Beds Vital Sign Monitor System
- Validated a BLE device and RPI IoT connectivity system to monitor vital signs for 60+ patients across 6 wards during a clinical trial. Analyzed physiological data (heart rate, blood oxygen) from 400+ hemodialysis treatments to assist in clinical trial studies.
Technical Project Manager | AcuSense BioMedical Technology | Sep 2020 - Sep 2022
- Interviewed dialysis ward staff and medical professionals to define AIoT ward monitoring system requirements. Wrote feasibility specifications and ensured they aligned with user needs.
- Planned and designed medical AI products, including conducting clinical user interviews, developing minimum viable products, and writing conferences and journal papers. It ensured alignment with regulatory requirements, such as FDA guidelines.
- Traced a medical quality improvement project for a district hospital by analyzing retrospective data from hemodialysis wards. We utilized SPSS and Excel to perform statistical analysis and identify areas for improvement in medical quality. Presented findings and recommendations to medical staff.
- Conducted clinical validation trials for TFDA class II medical devices, including writing software validation test reports, risk assessment reports, usability analysis reports, and user manuals.
Development Intern | BenQ Medical Center Suzhou | Jul 2019 - Aug 2019
- Developed a drug search statistical report function using C# and PLSQL for the 23 pharmacy staff of PIVAS (Pharmacy Intravenous Admixture Services). This tool provided reliable, timely information for the pharmacy team, improving their ability to deliver effective care. Also responsible for ongoing maintenance and troubleshooting of the tool.
- Conducted statistical analysis and created visual presentations using Power BI to analyze and report on hospital performance. Reports were provided to administrative center staff to assist in decision-making and improve overall hospital operations.
EDUCATION
National Cheng Kung University | Institute of Medical Informatics | 2021 - 2023
- GPA: 4/4.3
- Laboratory: Biomedical Ultrasound System Lab.
- Research fields: Medical informatics system, clinical time-series data analysis, medical image processing
- Thesis topic: Based on Ensemble Learning and Deep Learning methods to predict the risk of intradialytic hypotension.
Kaohsiung Medical University | Healthcare Administration and Medical Informatics | 2016 - 2020
- KMU Wind Orchestra | Director (2017-2018)
Leaded members to win the 2018 National Student’s Music Contest in R.O.C.(Taiwan) of the university's southern groups, the High Distinction Award.
KMU Student Association of Department | Vice President (2017-2018)
COMPETITION
- 2020 ATONA Case Competition in Taiwan (ATCC)- Carrefour Group - 3rd
- 8th KMU Innovation and Entrepreneurship Challenge - 3rd (Creative Group)
- 7th KMU Innovation and Entrepreneurship Challenge - Merit Award (Startup group)
- 2018 National Central University Intelligence Medical Assistive Device - Merit award
OTHERS
Publication
The New Method of Feature Selection for Intradialytic Hypotension Prediction using Machine Learning｜IEEE 2021 ECBIOS Conferences
Differencing Time Series as an Important Feature Extraction for Intradialytic Hypotension Prediction using Machine Learning｜IEEE 2021 ECBIOS Conferences
- PREDICTION METHOD AND SYSTEM OF LOW BLOOD PRESSURE ｜US invention patent｜No.17500921
- 低血壓的預測處理方法與系統｜TW invention patent｜No.I792333
SKILLS
Tech Stack
[ Programming language ]
Python, SQL, JavaScript, TypeScript, HTML, CSS
[ Frontend ]
Angular, Ant-Design(NG-Zorro)
[ Backend ]
Flask, MSSQL, PostgreSQL
[ Machine Learning ]
TensorFlow-Keras, Sci-kit learn, MLflow, TensorBoard, MLops architecture design
[ Others ]
GitHub/ Git, Postman, Grafana, Docker, NGINX, Raspberry Pi
Design Tools
Figma
Adobe Illustrator
Adobe Photoshop
Whimsical
Project Management
Notion
Google workspace
Trello
Define technical specifications for business logic
Execute clinical trial for medical device validation