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H2 Inc.
崴浤科技
林口長庚醫院-AI core lab
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Avatar of 施冠宇.
Offline
Avatar of 施冠宇.
Offline
施冠宇
Data engineer @H2 Inc.
・
2021 ~ Present
AI engineer, ML engineer, data scientist
Within three months
to-end deployment 並根據用戶回饋建立 retrain system - 幫助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度 - 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management 【Airflow 定期排程以及維運 data reports】 - 創建 2 個 ETL pipeline - 幫助 3 個不同部門維護 8 個 data reports - 利用 python 去處理並且整合 SQL, Google big query, AWS S3 bucket 不同
Airflow
Docker
AWS
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清華大學
・
動力機械工程學系
Avatar of 邱政亞.
Avatar of 邱政亞.
邱政亞
全端工程師 @崴浤科技
・
2015 ~ Present
資料工程師
Within two months
一步是 「 資料工程師 」 my blog 工作經歷 全端工程師 崴浤科技 •~ Now - 經歷6年 股市大數據平台 Side Project ( https://www.getmoney.tw/ ) < python 、 mysql 、a pache airflow 、 linux 、 ubuntu 、nginx 、 php 、 laravel 、 html5 、 css3 、 javascript > 使用 Apache airflow 建置多條Data pipeline，主要用於股市數據的自動化 擷取,清洗,置入(ETL) ，包括: 集保戶股權分散、盤後資
Python
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6-10 years
國立台中科技大學
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Within three months
Avatar of 施冠宇.
施冠宇
Data engineer / Data scientist
Logo of H2 Inc..
H2 Inc.
・
2021 ~ Present
New Taipei City, Taiwan
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Scientist, Data Engineer, Python Developer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Airflow
Docker
AWS
Flask
Python
Machine Learning
Object Detection
Linux
Bash shell
Git
Deep Learning with PyTorch
Data Analysis
PostegreSQL
MongoDB
ETL Pipeline
Wandb
C/C++
Crawler
Languages
Chinese
・
Native or Bilingual
English
・
Professional
Job search preferences
Positions
AI engineer, ML engineer, data scientist
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣台中市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
清華大學
Major
動力機械工程學系
Print

施冠宇

在 H2 inc. 智抗糖 app 中開發 food AI recognition 功能 ，目前服務已經穩定上線

  New Taipei City, Taiwan      

工作經歷

Data engineer  •  H2 Inc.

十二月 2021 - Present

【AI 食物辨識及分類】
- 設計 labeling workflow and rules, 並領導 3 位 labelers 團隊
- 管理 food AI recognition project life cycle, 完成 end-to-end deployment 並根據用戶回饋建立 retrain system
- 幫助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度
- 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management

【Airflow 定期排程以及維運 data reports】
- 創建 2 個 ETL pipeline
- 幫助 3 個不同部門維護 8 個 data reports
- 利用 python 去處理並且整合SQL, Google big query, AWS S3 bucket不同來源的 data source

【Data analysis】

- 根據各部門所需提供相對應的數據分析
- 針對不同 project 進行 exploratory data analysis 分析

AI 工程師  •  林口長庚醫院-AI core lab

六月 2019 - 三月 2021

【建置 AI 模型與應用】
- 利用 AI deep learning CNN models，解決醫療領域的問題
- 利用機器學習方法輔助解決醫療領域問題
- 搭配 Linux bash shell 幫助 AI 模型的運行

1. Corneal ulcer
- 建立 two-stage model 並且 fine-tune model 至 80% Accuracy 達 80%, 高於醫師判斷的 66%, 已經與醫師共同發表醫療 AI paper

2. Pterygium案件
- 運用 6 種不同 CNN model 搭配 5 種 data augmentation 並且 fine-tune model，達到 93 % Accuracy on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper


3. Pathology案件
-建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient

學歷

清華大學

動力機械工程學系

2014 - 2018

技能

Software

  • AWS
  • Airflow
  • Dagster
  • Docker
  • Git
  • Flask
  • Pytorch
  • Tensorflow
  • DVC

Languages

  • Python
  • SQL
  • Bash-Shell script
  • C/C++
  • Javascript

Technical Skill

  • Data Modeling
  • Custom ETL Development
  • Data Analysis
  • System Resource Analysis
  • AWS IaaS
Resume
Profile
Print

施冠宇

在 H2 inc. 智抗糖 app 中開發 food AI recognition 功能 ，目前服務已經穩定上線

  New Taipei City, Taiwan      

工作經歷

Data engineer  •  H2 Inc.

十二月 2021 - Present

【AI 食物辨識及分類】
- 設計 labeling workflow and rules, 並領導 3 位 labelers 團隊
- 管理 food AI recognition project life cycle, 完成 end-to-end deployment 並根據用戶回饋建立 retrain system
- 幫助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度
- 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management

【Airflow 定期排程以及維運 data reports】
- 創建 2 個 ETL pipeline
- 幫助 3 個不同部門維護 8 個 data reports
- 利用 python 去處理並且整合SQL, Google big query, AWS S3 bucket不同來源的 data source

【Data analysis】

- 根據各部門所需提供相對應的數據分析
- 針對不同 project 進行 exploratory data analysis 分析

AI 工程師  •  林口長庚醫院-AI core lab

六月 2019 - 三月 2021

【建置 AI 模型與應用】
- 利用 AI deep learning CNN models，解決醫療領域的問題
- 利用機器學習方法輔助解決醫療領域問題
- 搭配 Linux bash shell 幫助 AI 模型的運行

1. Corneal ulcer
- 建立 two-stage model 並且 fine-tune model 至 80% Accuracy 達 80%, 高於醫師判斷的 66%, 已經與醫師共同發表醫療 AI paper

2. Pterygium案件
- 運用 6 種不同 CNN model 搭配 5 種 data augmentation 並且 fine-tune model，達到 93 % Accuracy on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper


3. Pathology案件
-建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient

學歷

清華大學

動力機械工程學系

2014 - 2018

技能

Software

  • AWS
  • Airflow
  • Dagster
  • Docker
  • Git
  • Flask
  • Pytorch
  • Tensorflow
  • DVC

Languages

  • Python
  • SQL
  • Bash-Shell script
  • C/C++
  • Javascript

Technical Skill

  • Data Modeling
  • Custom ETL Development
  • Data Analysis
  • System Resource Analysis
  • AWS IaaS