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2020 ~ Present
資料科學
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Microsoft Office
python
machine learning
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4-6 years
National University of Singapore
Department of building
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Back End Devel0per @英仕國際
2020 ~ Present
Data Analyst 數據分析師 / Data Scientist 資料科學
Within one month
Evan Wu Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud. Taiwan 工作經歷 Back End Devel0per • 英仕國際 三月Present Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Java Software Developer • iiNumbers, Inc. / 木刻思股份有限公司 五月九月 2020 Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed
JAVA
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Employed
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10-15 years
National Chung Hsing University
Computer Science and Engineering
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Past
Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
預處理: • 開發爬蟲系統:使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章,爬取網站包含:PubMed、Google Patent、Internet Archive Scholar。 • 資料清理:將文章內容依照公司標準做整理,並新增數據至公司資料庫。 技術:Python、Beautiful Soup、Selenium、Prompt Engineering、MySQL 微算機系統實習 課程助教 • 國
Machine Learning
Computer Vision
Pytorch/Tensorflow
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4-6 years
國立臺北科技大學
資訊工程
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AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
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Python
R
Natural Language Processing (NLP)
Employed
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4-6 years
國立政治大學(National Chengchi University)
資訊科學
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Avatar of 邱義塵.
Past
Data Engineer @Rooit Inc. (XO App)
2023 ~ 2023
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
發使用新的推薦演算法 - 建立data to Bigquery/Redis 的 pipeline分流舊有MongoDB資料庫減少MongoDB巔峰時流量負荷 - 利用使用者在APP上的行為模式資料建立Knowledge Graph NEITHNET Inc., 資料科學家, Apr 2021~ Jan 2023 Python/Neo4J/Graph Neural Network/Data Analysis/SQL - 使用selenium從twitter, FB, PTT爬取上千位使用者資料和文章
Python
Data Analysis
Data Science
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
臨床醫學研究所
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Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Chun-Jung Huang [email protected] Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
Deep learning with TensorFlow
Translational Research
Clinical Research
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
Ph.D. - Clinical Engineering
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智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City,Taiwan •  [email protected] 希望職務:人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好,我是潘揚燊,目前任職於 聯華電子 , 擔任 智慧製造 全端開發工程師 , 畢業於元智大學工業工程與管理學系研
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
工業工程與管理學系所
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Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ Present
全端工程師、後端工程師、前端工程師、軟體專案主管、AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Python
C
C++
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
Computer science and engineering
Avatar of 張國生.
Avatar of 張國生.
技術經理 @SYSTEX 精誠資訊
2021 ~ Present
Hybrid Architect and Backend Engineer
Within one month
張國生 誤打誤撞進了雲領域 莫名其妙接了k8s 之前身為DBA的我 (但我不想再找DBA的工作) 對Cloud 這領域的"人"的"行事做風"還真是陌生阿 我喜歡後端及雲地整合 也想寫寫Golang及玩玩資料科學 期望於六月底專案告一段落能碰到好的機會離開現職 人
Golang
Oracle Database
PostgreSQL
Employed
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More than 15 years
臺灣國立空中大學
法律專班
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Avatar of 賴泳瑄.
老闆 @歐趴飲料店
2012 ~ 2018
AIOT開發工程師
Within one month
工程師疑難排解 APP WEB UX 規劃 第三方元件整合 Google Play / Apple Store 上架 兼任講師 • 東海大學 一月Present 主要教學C、C++、JAVA、PYTHON、物聯網、資料科學、機器學習、深度學習等等。 科技部計畫研究助理 • 東海大學 一月十二月 2019 協助撰寫科技部計畫 與林口長庚醫院羅
機器學習、大數據分析、邊緣運算、資料探勘
Application Development
Data Science
Employed
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6-10 years
Tunghai University
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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.
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Within one month
資料科學工程師
Vinnovation Network 維諾森資訊科技
2022 ~ 2023
Taipei City, Taiwan
Professional Background
Current status
Unemployed
Job Search Progress
Ready to interview
Professions
Data Engineer, Data Scientist, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning
Work experience
4-6 years
Management
I've had experience in managing 5-10 people
Skills
python
tensorflow
keras
machine learning
Deep Learning
pytorch
Fortran
Vim
Git
Statistics
Linear Algebra
PyTorch
Medical Image Processing
LLMs A.I.
GPT
Languages
Chinese
Native or Bilingual
English
Fluent
Job search preferences
Positions
資料科學家、資料科學工程師、機器學習工程師
Job types
Full-time
Locations
台灣台北市, 台灣新竹市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
台灣大學
Major
大氣科學所
Print

Shih-Wen Tsou

- With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning.

  Taipei City, Taiwan      

WORK EXPERIENCE

Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan

Data Engineering / Data Analysis

  • Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake.
  • Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV files.
  • Utilized Databricks for large-scale data processing, leveraging its Spark capabilities to efficiently transform and aggregate incoming data streams.
  • With the combined power of Databricks and AWS Lambda, ensured unparalleled data consistency, quality, and preparedness for sophisticated analytics and reporting.
  • Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they reached the Databricks Delta Lake.
  • Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks.

MLOps / Machine Learning / Data Science

  • Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration.
  • Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance.
  • Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment. Leveraged automation tools to swiftly adapt models to new data.
  • Developed an API service used as an internal tool within the company, leveraging OpenAI Whisper for automatic speech recognition and ChatGPT for intelligent language translation, resulting in approximately an 80% reduction in manpower and time costs.
  • Fine-tuned a Llama-based Large Language Model (LLM) and, by integrating Langchain and Pinecone, optimized the search experience on our website.

Apr. 2022 - Jul. 2023

Machine Learning Researcher, Lab. for Cloud Dynamics and Modeling, National Taiwan University, Taipei, Taiwan    

  • Developed a model using U-net to detect ship tracks in satellite images, resulting in an 80% times savings.

  • Cooperated with multiple domain experts, including Atmospheric Science and Environmental Science, to solve problems with machine learning techniques.

  • Developed a model to classify Typhoon tracks with 96.5% accuracy rate, where the traditional method is about 80%.

  • Configured and managed a GPU-enforced workstation for the lab members to execute High Performance Computing (HPC) tasks.

Sep. 2021 - Mar. 2022

Data Scientist, Vizuro, Taipei, Taiwan

  • Developed an end-to-end pipeline to detect Breast Cancer in 3D Breast MRI images, encompassing data storage, data pre-processing, and detection model building.

  • Leveraged the power of deep learning algorithms, fusing them with insights gathered from medical research, to refine and augment the performance of our breast cancer diagnosis model.

  • Deployed the Deep-learning Breast Cancer Detection model integrated to the hospital PACS system.

  • Developed a model to segment 3D breast MR images and deployed it to ImageJ to expedite annotation and reduce labeling time.

May. 2019 - Sep. 2021

EDUCATION

Sep. 2016 - Jan. 2019

National Taiwan University

Master of Science in Atmospheric Sciences

Sep. 2011 - Jun. 2016

National Taiwan University

Bachelor of Science in Atmospheric Sciences

SKILL

Programming: Python, R, C/C++, GO, Matlab, Fortran

Machine Learning:

  • Traditional: Random Forest, XGBoost, K-means, DBSCAN, PCA, t-SNE
  • Deep Learning: CNNs, RNNs, transformers, GPT, Fast R-CNN series, U-Net, DCGANs, Whisper, Explainable AI techniques

Databases: PostgreSQL, MySQL, MongoDB

Data Engineering: Databricks, PySpark, Airflow, Airbyte

Cloud (AWS): Lambda, S3, EC2, Personalize, VPC

Side Projects


  • Lightning Prediction with Deep Learning and explain the model with physical methods.

  • Learning to generate the Manhattan building with Deep Convolutional GAN from OpenStreeMap building model.

  • Predicting short-term stock market price trends with Machine Learning.

  • Build an Investment Portfolio machine with a Rebalancing Strategy from scratch.

Resume
Profile

Shih-Wen Tsou

- With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning.

  Taipei City, Taiwan      

WORK EXPERIENCE

Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan

Data Engineering / Data Analysis

  • Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake.
  • Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV files.
  • Utilized Databricks for large-scale data processing, leveraging its Spark capabilities to efficiently transform and aggregate incoming data streams.
  • With the combined power of Databricks and AWS Lambda, ensured unparalleled data consistency, quality, and preparedness for sophisticated analytics and reporting.
  • Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they reached the Databricks Delta Lake.
  • Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest quality benchmarks.

MLOps / Machine Learning / Data Science

  • Utilized Databricks to build a LightGCN-based recommendation system, fine-tuning for precise content delivery. Monitored model versions with MLflow, ensuring continuous integration.
  • Seamlessly merged our recommendation system with Databricks Delta Lake, maintaining a high-quality data influx and elevating system performance.
  • Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment. Leveraged automation tools to swiftly adapt models to new data.
  • Developed an API service used as an internal tool within the company, leveraging OpenAI Whisper for automatic speech recognition and ChatGPT for intelligent language translation, resulting in approximately an 80% reduction in manpower and time costs.
  • Fine-tuned a Llama-based Large Language Model (LLM) and, by integrating Langchain and Pinecone, optimized the search experience on our website.

Apr. 2022 - Jul. 2023

Machine Learning Researcher, Lab. for Cloud Dynamics and Modeling, National Taiwan University, Taipei, Taiwan    

  • Developed a model using U-net to detect ship tracks in satellite images, resulting in an 80% times savings.

  • Cooperated with multiple domain experts, including Atmospheric Science and Environmental Science, to solve problems with machine learning techniques.

  • Developed a model to classify Typhoon tracks with 96.5% accuracy rate, where the traditional method is about 80%.

  • Configured and managed a GPU-enforced workstation for the lab members to execute High Performance Computing (HPC) tasks.

Sep. 2021 - Mar. 2022

Data Scientist, Vizuro, Taipei, Taiwan

  • Developed an end-to-end pipeline to detect Breast Cancer in 3D Breast MRI images, encompassing data storage, data pre-processing, and detection model building.

  • Leveraged the power of deep learning algorithms, fusing them with insights gathered from medical research, to refine and augment the performance of our breast cancer diagnosis model.

  • Deployed the Deep-learning Breast Cancer Detection model integrated to the hospital PACS system.

  • Developed a model to segment 3D breast MR images and deployed it to ImageJ to expedite annotation and reduce labeling time.

May. 2019 - Sep. 2021

EDUCATION

Sep. 2016 - Jan. 2019

National Taiwan University

Master of Science in Atmospheric Sciences

Sep. 2011 - Jun. 2016

National Taiwan University

Bachelor of Science in Atmospheric Sciences

SKILL

Programming: Python, R, C/C++, GO, Matlab, Fortran

Machine Learning:

  • Traditional: Random Forest, XGBoost, K-means, DBSCAN, PCA, t-SNE
  • Deep Learning: CNNs, RNNs, transformers, GPT, Fast R-CNN series, U-Net, DCGANs, Whisper, Explainable AI techniques

Databases: PostgreSQL, MySQL, MongoDB

Data Engineering: Databricks, PySpark, Airflow, Airbyte

Cloud (AWS): Lambda, S3, EC2, Personalize, VPC

Side Projects


  • Lightning Prediction with Deep Learning and explain the model with physical methods.

  • Learning to generate the Manhattan building with Deep Convolutional GAN from OpenStreeMap building model.

  • Predicting short-term stock market price trends with Machine Learning.

  • Build an Investment Portfolio machine with a Rebalancing Strategy from scratch.