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國立政治大學
Avatar of Zam Yang.
Avatar of Zam Yang.
Director @威睿科技有限公司
2023 ~ Sekarang
軟體工程師
Dalam enam bulan
under the multi-aspect analysis. Software Engineer [email protected]://www.linkedin.com/in/zam-yangb3/ https://www.facebook.com/rock.zam Taipei,TW Skill Background Knowledge TCP/IP SDN Cloud Computing Semantic Web Linux Programming Language C (Master) NodeJS (Familiar) Python Golang PHP (Beginner) JAVA (Beginner) Framework Express.js Feathers.js Intel DPDK Database MySQL MongoDB Hadoop Dev. Tools CMake/Makefile/npm Git Jenkins/Unit test Doxygen AWS EC2 S3 Route53 Big Data Tech. Kafka
C
Node.js
Networking
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
國立政治大學
資訊科學
Avatar of 林韋村.
Avatar of 林韋村.
Past
網站開發 @程式進修
2022 ~ Sekarang
Product Lead, Senior Product Manager
Dalam dua bulan
@gmail.com, mobile:Experience Web Developer Self-study Programing • JunCurrent • NatoursPro/ Forkify/ Mapty Projects : designed MVC website architecture, established RESTful API, implemented JWT account verification mechanism, built MongoDB database, integrated Email system, Geolocation API, and Stripe payment system , etc. • Alpha Camp: Fundation Course of Online Web Development Track • Udemy Course: completed three courses: The Complete JavaScript Course 2023, Node.js, Express, MongoDB & More, The Complete 2023 Web Development Bootcamp Project Manager iCan Entertainment Co., Ltd. • MarMay 2022 • Chaired projects for a live streaming platform and directed a team of 3 members (PM
PMP國際專案管理師證照
Certified Bitcoin Professional
Certified Scrum Master CSM
Tidak bekerja
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立政治大學
新聞學系

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Technical Skills
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Problem-Solving
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Dalam satu tahun
AI Soft Engineer
網威智慧科技股份有限公司
2021 ~ Sekarang
台灣新北市
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Data Scientist, Data Engineer, Back-end Engineer
Bidang Pekerjaan
Software, Saas / Cloud Services
Pengalaman Kerja
2-4 tahun
Management
Tidak ada
Keterampilan
SQL
Data Analysis
Python
AI & Machine Learning
Deep Learning
R
Docker
Bahasa
English
Menengah
Preferensi Pencarian Pekerjaan
Jabatan
大數據分析,資料科學家,資料工程師,AI工程師
Tipe Pekerjaan
Full-time
Lokasi
台灣台北, 台灣桃園, 台灣新竹市新竹, 台灣新北市
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
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Pendidikan
Institusi Pendidikan
國立政治大學
Jurusan
資料科學
Cetak

蔡政憲

Hank Tsai

  : [email protected]

Actively looking for a job Expectation:  1,000,000~ 1,100,000 / annual salary


  • MobiSys 20 Poster: Key sensor discovery for quality audit of air sensor networks
  • Data Science, Time-Series Data, Computer Vision
  • Think Independently, analyze problems, and solve problems efficiently 
  • Have a great passion and interest in data science 
  • Communication, Teamwork, Responsible, Stress resistance

    

Interests :

  • Workout
  • Basketball

Skills

Data analysis, Machine Learning, Deep Learning

  • Good at Python
  • Data Clean, Data Visualization
  • Web Crawler
  • Clustering, Classification, Regression

  • PLSRegression,  Random Forest, SVM, and so on
  • Tensorflow, Pytorch

Programming


  • Python
  • C++
  • HTML
  • Shell Script

Database


  • SQL
  • MySQL
  • PostgreSQL
  • Elasticsearch
  • Redis
  • SQLite

Microservices


  • Docker
  • Docker File

Version & Cloud (CI/CD)


  • Git/Github
  • Gitlab
  • GCP

Club


  • Basketball Team of CSIE (Deputy Captain)
  • Student Association of CSIE in KUAS

Experience

AI Application Soft Engineer

網威智慧科技股份有限公司  •  四月 2021 - Present

致力於開發偽冒偵測AI模型,包含消費者異常登入行為、異常消費行為等等。主要在部門進行資料蒐集,資料視覺化,模型開發,系統開發及維運
工作內容
- 開發Flask API,提供其他單位串接以及蒐集資料
- 資料篩選, 資料清洗至模型建立, 並部屬成 docker 服務
- 開發資料即時同步 ElasticSearch 系統, 並且在 Kibana 上面呈現報表
- 使用Docker部屬所需之系統服務,例如: Redis, elasticsearch, kibana
- 使用 Git 進行程式版本控制
- 協助團隊新技術導入
- 閱讀期刊會議論文,並且嘗試導入至可用模型服務

The department is committed to developing fraud detection AI models, such as anomaly login behavior, anomaly consumption behavior, etc. Mainly in the department for data collection, model development, system development, and maintenance
work content
- provide API to other departments to collect data
- from data collection and data cleaning to building AI models, and developing into docker services
- Developed a real-time data synchronization ElasticSearch system, and presents reports on Kibana
- Use docker to deploy system services required, such as Redis, ElasticSearch, Kibana
- version control with Git
- Assist the team in the introduction of new technologies
- Read the paper, and do neural network research

Side Project

  •  一月 2023 - 二月 2023

- By using YOLOv7 + with CNN, license plate numbers in images can be recognized. 

- Due to accuracy issues, the identified license plates are projected forward using OpenCV perspective transformation before further recognition is performed.

- github: https://github.com/TsaiZX/Plate-License-Recognition

Research assistant of the Academia Sinica

中央研究院  •  十月 2018 - 五月 2020

- 中央研究院計畫:以使用者有感為導向的環境物聯網大數據分析:以PM2.5為例
- Develop an estimation model to estimate time series Airbox data

- Propose three different approaches to improve the effectiveness of the estimation algorithm

- Propose the key sensor discovery for mode efficient and effective quality audit of large-scale air sensor network

- Crawler Data from Government Web, Social Media

- Analysis of the relationship between the PM2.5 Time Series Data and Climate Data

- Apply the sequential clustering algorithm to the Time series data

Teaching assistant of DBMS in National Chengchi University

政治大學  •  二月 2020 - 六月 2020

- answer classmate questions
- assist classwork questions
- complete the tasks assigned by the professor
- assist with final project examples and development

Education

2018 - 2020

Master's Degree, National Chengchi University

Computer Science

Thesis: Spatial-Temporal Correlation Modeling of Air Monitoring Sensor Network

2014 - 2018

Bachelor's DegreeNational Kaohsiung University of Applied Sciences

Computer Science and Information Engineering

Publications


Tzu-Heng Huang, ZhengXian Tsai, Man-Kwan Shan. ”Key Sensor Discovery for Quality Audit of Air Sensor Networks.” ACM International Conference on Mobile Systems, Applications, and Services (MobiSys). 2020. 

CV
Profil

蔡政憲

Hank Tsai

  : [email protected]

Actively looking for a job Expectation:  1,000,000~ 1,100,000 / annual salary


  • MobiSys 20 Poster: Key sensor discovery for quality audit of air sensor networks
  • Data Science, Time-Series Data, Computer Vision
  • Think Independently, analyze problems, and solve problems efficiently 
  • Have a great passion and interest in data science 
  • Communication, Teamwork, Responsible, Stress resistance

    

Interests :

  • Workout
  • Basketball

Skills

Data analysis, Machine Learning, Deep Learning

  • Good at Python
  • Data Clean, Data Visualization
  • Web Crawler
  • Clustering, Classification, Regression

  • PLSRegression,  Random Forest, SVM, and so on
  • Tensorflow, Pytorch

Programming


  • Python
  • C++
  • HTML
  • Shell Script

Database


  • SQL
  • MySQL
  • PostgreSQL
  • Elasticsearch
  • Redis
  • SQLite

Microservices


  • Docker
  • Docker File

Version & Cloud (CI/CD)


  • Git/Github
  • Gitlab
  • GCP

Club


  • Basketball Team of CSIE (Deputy Captain)
  • Student Association of CSIE in KUAS

Experience

AI Application Soft Engineer

網威智慧科技股份有限公司  •  四月 2021 - Present

致力於開發偽冒偵測AI模型,包含消費者異常登入行為、異常消費行為等等。主要在部門進行資料蒐集,資料視覺化,模型開發,系統開發及維運
工作內容
- 開發Flask API,提供其他單位串接以及蒐集資料
- 資料篩選, 資料清洗至模型建立, 並部屬成 docker 服務
- 開發資料即時同步 ElasticSearch 系統, 並且在 Kibana 上面呈現報表
- 使用Docker部屬所需之系統服務,例如: Redis, elasticsearch, kibana
- 使用 Git 進行程式版本控制
- 協助團隊新技術導入
- 閱讀期刊會議論文,並且嘗試導入至可用模型服務

The department is committed to developing fraud detection AI models, such as anomaly login behavior, anomaly consumption behavior, etc. Mainly in the department for data collection, model development, system development, and maintenance
work content
- provide API to other departments to collect data
- from data collection and data cleaning to building AI models, and developing into docker services
- Developed a real-time data synchronization ElasticSearch system, and presents reports on Kibana
- Use docker to deploy system services required, such as Redis, ElasticSearch, Kibana
- version control with Git
- Assist the team in the introduction of new technologies
- Read the paper, and do neural network research

Side Project

  •  一月 2023 - 二月 2023

- By using YOLOv7 + with CNN, license plate numbers in images can be recognized. 

- Due to accuracy issues, the identified license plates are projected forward using OpenCV perspective transformation before further recognition is performed.

- github: https://github.com/TsaiZX/Plate-License-Recognition

Research assistant of the Academia Sinica

中央研究院  •  十月 2018 - 五月 2020

- 中央研究院計畫:以使用者有感為導向的環境物聯網大數據分析:以PM2.5為例
- Develop an estimation model to estimate time series Airbox data

- Propose three different approaches to improve the effectiveness of the estimation algorithm

- Propose the key sensor discovery for mode efficient and effective quality audit of large-scale air sensor network

- Crawler Data from Government Web, Social Media

- Analysis of the relationship between the PM2.5 Time Series Data and Climate Data

- Apply the sequential clustering algorithm to the Time series data

Teaching assistant of DBMS in National Chengchi University

政治大學  •  二月 2020 - 六月 2020

- answer classmate questions
- assist classwork questions
- complete the tasks assigned by the professor
- assist with final project examples and development

Education

2018 - 2020

Master's Degree, National Chengchi University

Computer Science

Thesis: Spatial-Temporal Correlation Modeling of Air Monitoring Sensor Network

2014 - 2018

Bachelor's DegreeNational Kaohsiung University of Applied Sciences

Computer Science and Information Engineering

Publications


Tzu-Heng Huang, ZhengXian Tsai, Man-Kwan Shan. ”Key Sensor Discovery for Quality Audit of Air Sensor Networks.” ACM International Conference on Mobile Systems, Applications, and Services (MobiSys). 2020.