CakeResume Talent Search

Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
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
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所,研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題,擁有多項產學合作的專案開發經驗,亦在電腦視覺領域中發表過多篇學術論文,主要研究主題包含物
Machine Learning
Computer Vision
Pytorch/Tensorflow
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
資訊工程
Avatar of 曾文鍾.
Avatar of 曾文鍾.
技術部門經理 @沛鑫包裝科技
2018 ~ Present
R & D technologist/program manager
Within one month
曾文鍾 研發主管 | 專注於工業自動化與智慧製造領域的技術變革 新竹,TW • [email protected] 摘要 具有豐富現場實務經驗的 研發主管 ,專注於 工業自動化與智慧製造 領域,著墨於電腦視覺與深度學習。在過去的工作中,成功領導多個創新專案,通過
Computer Vision
c#
Automation
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中興大學
機械
Avatar of 邱義塵.
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
識 - 自動辨識試片有無檢體、PH試紙有無使用 - 儀器晃動偵測 技能 - Python(4年) - Data Analysis - Business Analyst - Recommend System - Tableau - Bigquery - DL/ML/RL - MongoDB - Neo4j - Geometrics of Deep Learning - Software Develop - Computer vision 學歷 中國醫藥大學(China Medical University), 碩士學位, 臨床醫學研究所, 2012 ~ 2017 中國醫藥大學(China Medical University), 學士學位, 生物醫學影像暨放射科學
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
Avatar of 陳勤霖.
Avatar of 陳勤霖.
Past
博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
陳勤霖 神經工程博士背景的數據分析師 Ph.D. in Neuroscience from Neuroengineering lab I have 5 years of hands-on experience in image and data analysis with biotechnology innovation projects. Dependable ability in managing collaborative projects to success. Business-driven motivation to apply analytic skills to optimize the product and its development procedure. https://chinlinchen1312.wixsite.com/chin-lin-chen 工作經歷 一月十二月 2023 博士後研究員 洛桑大
Data Science
Data Analysis
Machine Learning
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of 李昀庭.
Avatar of 李昀庭.
AI Engineer @Playsee
2022 ~ Present
資料分析師、資料科學家、產品經理
Within one month
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Python
Project Management
Strategic Thinking
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
心理所(認知科學所)
Avatar of Yi Ling.
Avatar of Yi Ling.
Team Lead @工業技術研究院
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
示獎present 軟體工程師 • 工業技術研究院 (ITRI) 影像AI感測技術 應用領域: 自駕車 / 駕駛輔助系統 / 其他感知應用 研發領域: Image processing, Computer vision, Deep learning 平台工具: 程式語言: C++, Python 作業系統: Ubuntu 版本管控: git 機器人通訊API: ROS 電腦視覺API: OpenCV, Yolo, Nvidia TensorRT 工作內容: 技術研發
C++
Python
Deep Learning
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
資訊工程學所
Avatar of the user.
Avatar of the user.
Director of software R&D department @Phrozen Inc.
2024 ~ Present
Software Engineer
Within one month
C++ and C
Python
OpenCV
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Georgia Institute of Technology
Doctor of Philosophy in Structural Engineering
Avatar of the user.
Avatar of the user.
Data Analyst & IoT Software Developer @FARAZ ERTEBAT
2021 ~ Present
Computer Vision / Deep Learning
Within one month
C#
C/C++
MySQL
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
Information Technology | Face Recognition
Avatar of the user.
Avatar of the user.
Senior Software Engineer @FIH Moblie LTD.
2019 ~ Present
Android Developer
Within one month
C
C++
Optical Character Recognition
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Chung Cheng University
Computer Science & Information Engineering

The Most Lightweight and Effective Recruiting Plan

Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.

  • Browse all search results
  • Unlimited access to start new conversations
  • Resumes accessible for only paid companies
  • View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
If the number of the search result is not enough, you can remove the less important keywords
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.

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.
More than one year
Data Scientist
Logo of Taboola Taiwan .
Taboola Taiwan
2021 ~ Present
Taiwan, 台灣
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Information Services
Work experience
2-4 years
Management
None
Skills
English
Python
R
tensorflow
Data Mining
Data Science
Data Visualization
DeepLearning
Scikit-Learn
Japanese N1
Recommendation System
Machine Learning
SQL
Hadoop
Hive
Spark
Languages
English
Professional
Japanese
Fluent
Job search preferences
Positions
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
國立清華大學 National Tsing Hua University
Major
Service Science(Data Analyze & Information System)
Print

Wqslpmty9poyhqozyew7

陳宣佑 HsuanYu CHEN

From the background of statistics in NCCU, Yu graduated from his master degree in Institute of Service Science in NTHU, with a major module of business data analytics. He has 4 year experience of Python and R in his college projects and 6 internships, including chatbot, comdceputer vision, time series forecast, recommendation system, customer clustering / prediction, and NLP etc. His thesis focuses on improving literature review efficiency with semi-supervised learning on a small number of PDF data. Compared to normal CS background students, Yu not only has solid programming skills with statistical concepts but also great communication skills due to the previous bilingual learning environment when exchanging to Japan. 

Intern & Research Assistant

LINE, TECH FRESH  [R, Python, Hive, Spark, K8S]                                      Jul 2020 - Jun 2021

    -     Check raw data quality and source back to KR/JP data source to improve data quality

    -     EDA on large scale EC web record with pySpark, SQL to find insight

    -     Data visualization report & R dashboard with K8S

    -     Recommendation API service from scratch, including algorithm, ETL, API deployment, metrics

    -     Recommendation related metrics study, documentation from biz, model, UX aspects

CRUXOVER, Data Engineer  [Python, R, Azure]                                        Oct 2019 - Sep 2020

    -     Recommendation system with spark.ml

    -     Python & R tutorial design

    -     Potential Customer Prediction with data pipeline using Azure

    -     Refactor Python feature engineering code into SQL, saving 80% computation time

    -     IoT data engineering & code refactor

NTHU, Research Assistant of SDG project  [Python]                               Jun 2019 - Dec 2019

    -     Research various deep learning embedding technique in NLP 

    -     Web crawling of online journal paper

InQuartik, NLP Assistant Engineer (Summer Intern)  [Python]             Jul 2019 - Sep 2019

    -     Japanese English translation algorithm NLP research

Cinnamon, Computer Vision Researcher (Summer Intern)  [Python]  Jul 2019 - Sep 2019

    -     Build a web AI application which can classify over 100 categories of NIKE shoes

    -     Integrate front-end & model with python flask, numpy, pandas

    -     Design marketing plan and pitch this AI product to CEO

    -     Independent research of CV algorithm for better image segmentation performance

IProspect, Data Consultant/ Data Analyst [Python, R]                          Feb 2019 - Jun 2019

    -    Data cleaning & Feature engineering of large scale makeup shopping data 

    -    Applied Xgboost algorithm to predict probability of buying each category of makeup for each customer  

    -    Applied Cspade association algorithm to mine customer behavior and give recommendations to ad 

Gigabyte, Data Science Intern [Python]                                                  Aug 2018 - Jun 2019

    -     Build customer & inner-service chatbot from scratch

    -     Build automated program to produce daily recognition data analysis report with visualization.

    -     Linux OS Python environment building, Gitlab code version control

    -     App/ Software interface English/ Japanese translation

AIU, Japanese Learner Quantitative Research Statistics Assistant   Dec 2017 - Jul 2018

    -    R programming & Statistics Model Teaching

    -    Give advice of how to quantitatively analyze learners' result

Course Project

[Business Analytics with Time Series] - T. S. Prediction & Dashboard               Dec 2020

    -    Fit & select various time series model for explain & prediction purpose

    -    Build a dashboard with R of real-time prediction & customer statistics

[Business Analytics with Data Mining] - Video Platform Customer Tagging     Jun 2020

    -    Predict suitable plan for free user

    -    Predict user that may cancel in the next period based on behavior feature

[Text Mining] - NLP based Song Recommendation                                               Jun 2019

    -    Use Google Universal Sentence Encoding to recommend song with lyrics

[Side Project] - SET News WordCloud Chatbot                                                      Apr 2019

    -    Real time crawling of web data through user's query

    -    Build back-end system with cloud server Heroku and Python web framework "flask"

    -    Apply jieba package with pandas' vector computation to speed up reply time

[Big Data Analysis] - Gamer Shopping & Deposit Recommendation System   Dec 2018

    -    Data cleaning & Feature engineering of over 1,000,000 deposit, item shopping, login data

    -    Cluster user behavior with EM machine learning algorithm and make marketing plan for each group

    -    Build a recommendation system in Python to implement collaborative filtering (Test Accuracy: 90%).

         (It was build as a web application with Flask, HTML, Jinja. It can be as designed as a API for game system)

[Machine Learning] - Twitter Text Mining & Neural Network Emoji Predict     Jun 2018

    -    Stream over 30000 text data with Twitter API and process the text data

    -    Reduce dimension with t-SNE algorithm and plot the vector relation of emoji 

    -    Predict emoji based on text with bag-of word and DNN, Xgboost.

[Econometrics] - Mango Pricing Time Series Analysis [R]                                      Jun 2017

    -    Collect fruit transaction data from public platform and crawl historical weather data

    -    Statistics test on various time variable to find significant ones

    -    Write into statistics report of how pricing of mango can be forecasted by my model

[Psychology Digital Technics] - Dcard Web Crawler & Text Mining [R]                Jun 2017

    -    Stream articles data from different forum and data cleaning

    -    Visualize word using behavior for different gender with wordcloud

         (Males have more word about 'myself',, females have more word about "my boyfriends")

Education

National Tsing Hua University, Service Science, Master                  Feb 2019 - Jun 2021

    -    Master degree of Service Science with major of information system & data analytics

    -    Course including quantitative and qualitative analysis method

Akita International University, Exchange Student                           Sep 2017 - Aug 2018

    -    Represent NCCU as exchange student, studying global business, machine learning, information science

    -    Language Exchange program as English, Chinese teacher

National Cheng Chi University, Statistics, Bachelor                       Sep 2014 - Jan 2019

    -    Course from basic to advance statistics, such as ANOVA, mathematical statistics.

Skills


Programming

Python: sklearn, tf, flask, pyspark,   jieba, gensim, etc

R: ggplot, dplyr, various statistics         model etc

SQL: MsSQL, NoSQL, HiveQL, SparkSQL


Language

English

    -    TOEIC 945 [2018/7]

    -    TOEFL 97 [2016/9]

Japanese

    -    N1 152 / 180 [2018/7]


Online Course

Coursera

    -    Natural Language Processing

    -    Sequence Model (deeplearning)

    -    Applied Machine Learning

    -    Bayesian Statistics 

Extracurricular Activities

NCCU Recruit Month [Annual Event],  Marketing member               Dec 2016 - Mar 2017

    -    Write Facebook Articles to promote each company to students

    -    Design virtual events to let students know more about the content about our event

    -    Collect questionnaires and visualize with  R's ggplot2.

NCCU Statistics Camp 7th, Marketing & Public Relation leader         Apr 2016 - Jul 2016

    -     Write Facebook Articles to promote the camp to high school student (Finally over 130 students enrolled)

    -     Track View data from Facebook backend to customize the article content

Resume
Profile

Wqslpmty9poyhqozyew7

陳宣佑 HsuanYu CHEN

From the background of statistics in NCCU, Yu graduated from his master degree in Institute of Service Science in NTHU, with a major module of business data analytics. He has 4 year experience of Python and R in his college projects and 6 internships, including chatbot, comdceputer vision, time series forecast, recommendation system, customer clustering / prediction, and NLP etc. His thesis focuses on improving literature review efficiency with semi-supervised learning on a small number of PDF data. Compared to normal CS background students, Yu not only has solid programming skills with statistical concepts but also great communication skills due to the previous bilingual learning environment when exchanging to Japan. 

Intern & Research Assistant

LINE, TECH FRESH  [R, Python, Hive, Spark, K8S]                                      Jul 2020 - Jun 2021

    -     Check raw data quality and source back to KR/JP data source to improve data quality

    -     EDA on large scale EC web record with pySpark, SQL to find insight

    -     Data visualization report & R dashboard with K8S

    -     Recommendation API service from scratch, including algorithm, ETL, API deployment, metrics

    -     Recommendation related metrics study, documentation from biz, model, UX aspects

CRUXOVER, Data Engineer  [Python, R, Azure]                                        Oct 2019 - Sep 2020

    -     Recommendation system with spark.ml

    -     Python & R tutorial design

    -     Potential Customer Prediction with data pipeline using Azure

    -     Refactor Python feature engineering code into SQL, saving 80% computation time

    -     IoT data engineering & code refactor

NTHU, Research Assistant of SDG project  [Python]                               Jun 2019 - Dec 2019

    -     Research various deep learning embedding technique in NLP 

    -     Web crawling of online journal paper

InQuartik, NLP Assistant Engineer (Summer Intern)  [Python]             Jul 2019 - Sep 2019

    -     Japanese English translation algorithm NLP research

Cinnamon, Computer Vision Researcher (Summer Intern)  [Python]  Jul 2019 - Sep 2019

    -     Build a web AI application which can classify over 100 categories of NIKE shoes

    -     Integrate front-end & model with python flask, numpy, pandas

    -     Design marketing plan and pitch this AI product to CEO

    -     Independent research of CV algorithm for better image segmentation performance

IProspect, Data Consultant/ Data Analyst [Python, R]                          Feb 2019 - Jun 2019

    -    Data cleaning & Feature engineering of large scale makeup shopping data 

    -    Applied Xgboost algorithm to predict probability of buying each category of makeup for each customer  

    -    Applied Cspade association algorithm to mine customer behavior and give recommendations to ad 

Gigabyte, Data Science Intern [Python]                                                  Aug 2018 - Jun 2019

    -     Build customer & inner-service chatbot from scratch

    -     Build automated program to produce daily recognition data analysis report with visualization.

    -     Linux OS Python environment building, Gitlab code version control

    -     App/ Software interface English/ Japanese translation

AIU, Japanese Learner Quantitative Research Statistics Assistant   Dec 2017 - Jul 2018

    -    R programming & Statistics Model Teaching

    -    Give advice of how to quantitatively analyze learners' result

Course Project

[Business Analytics with Time Series] - T. S. Prediction & Dashboard               Dec 2020

    -    Fit & select various time series model for explain & prediction purpose

    -    Build a dashboard with R of real-time prediction & customer statistics

[Business Analytics with Data Mining] - Video Platform Customer Tagging     Jun 2020

    -    Predict suitable plan for free user

    -    Predict user that may cancel in the next period based on behavior feature

[Text Mining] - NLP based Song Recommendation                                               Jun 2019

    -    Use Google Universal Sentence Encoding to recommend song with lyrics

[Side Project] - SET News WordCloud Chatbot                                                      Apr 2019

    -    Real time crawling of web data through user's query

    -    Build back-end system with cloud server Heroku and Python web framework "flask"

    -    Apply jieba package with pandas' vector computation to speed up reply time

[Big Data Analysis] - Gamer Shopping & Deposit Recommendation System   Dec 2018

    -    Data cleaning & Feature engineering of over 1,000,000 deposit, item shopping, login data

    -    Cluster user behavior with EM machine learning algorithm and make marketing plan for each group

    -    Build a recommendation system in Python to implement collaborative filtering (Test Accuracy: 90%).

         (It was build as a web application with Flask, HTML, Jinja. It can be as designed as a API for game system)

[Machine Learning] - Twitter Text Mining & Neural Network Emoji Predict     Jun 2018

    -    Stream over 30000 text data with Twitter API and process the text data

    -    Reduce dimension with t-SNE algorithm and plot the vector relation of emoji 

    -    Predict emoji based on text with bag-of word and DNN, Xgboost.

[Econometrics] - Mango Pricing Time Series Analysis [R]                                      Jun 2017

    -    Collect fruit transaction data from public platform and crawl historical weather data

    -    Statistics test on various time variable to find significant ones

    -    Write into statistics report of how pricing of mango can be forecasted by my model

[Psychology Digital Technics] - Dcard Web Crawler & Text Mining [R]                Jun 2017

    -    Stream articles data from different forum and data cleaning

    -    Visualize word using behavior for different gender with wordcloud

         (Males have more word about 'myself',, females have more word about "my boyfriends")

Education

National Tsing Hua University, Service Science, Master                  Feb 2019 - Jun 2021

    -    Master degree of Service Science with major of information system & data analytics

    -    Course including quantitative and qualitative analysis method

Akita International University, Exchange Student                           Sep 2017 - Aug 2018

    -    Represent NCCU as exchange student, studying global business, machine learning, information science

    -    Language Exchange program as English, Chinese teacher

National Cheng Chi University, Statistics, Bachelor                       Sep 2014 - Jan 2019

    -    Course from basic to advance statistics, such as ANOVA, mathematical statistics.

Skills


Programming

Python: sklearn, tf, flask, pyspark,   jieba, gensim, etc

R: ggplot, dplyr, various statistics         model etc

SQL: MsSQL, NoSQL, HiveQL, SparkSQL


Language

English

    -    TOEIC 945 [2018/7]

    -    TOEFL 97 [2016/9]

Japanese

    -    N1 152 / 180 [2018/7]


Online Course

Coursera

    -    Natural Language Processing

    -    Sequence Model (deeplearning)

    -    Applied Machine Learning

    -    Bayesian Statistics 

Extracurricular Activities

NCCU Recruit Month [Annual Event],  Marketing member               Dec 2016 - Mar 2017

    -    Write Facebook Articles to promote each company to students

    -    Design virtual events to let students know more about the content about our event

    -    Collect questionnaires and visualize with  R's ggplot2.

NCCU Statistics Camp 7th, Marketing & Public Relation leader         Apr 2016 - Jul 2016

    -     Write Facebook Articles to promote the camp to high school student (Finally over 130 students enrolled)

    -     Track View data from Facebook backend to customize the article content