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資料分析師 Data Analyst @Portto 門戶科技| Blocto2022 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
臺灣大學
・
流行病學與預防醫學所 生物統計組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
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
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical EngineeringPast
Senior Data Analyst @趨勢科技2022 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Past
Service Provider @Taron Solutions Limited2023 ~ 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
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
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
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
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
邱義塵 於獨角獸多媒體設計有限公司擔任 遊戲測試工程師一職 建立公司測試團隊的測試流程和撰寫自動化測試程式 SDET、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 城市，TW [email protected] 工作經歷 獨角獸多媒體
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
OPC Chief Engineer @TSMC2020 ~ Present
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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
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
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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
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
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
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineeringThe 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
Job Search Progress
Professions
Fields of Employment
Work experience
Management
Skills
Languages
Job search preferences
Positions
Job types
Locations
Remote
Freelance
Educations
School
Major
Ahmed Magdy
[email protected] • Medellin, Colombia
Computer Science Engineer, love everything related to technology, interested in Machine learning/AI, also a bit of gamer.
Education
Helwan University, Bachelor of Engineering Sep 2018
Major: computer science
GPA: very good (the tenth)
Work Experience
Machine Learning Engineer at AI Fund, Colombia, Oct 2019 - present
- Rustle.co
- Developed a customer service AI platform for better customer support quality.
- Developed an automated data pipeline for extracting/scraping data from CS websites using MongoDB and AWS with S3.
- Deployed a Question-Answering NLP system over HTML text to answer CS questions given a company knowledge base using AWS and Fast-API.
- Deployed a Search Engine system using Elasticsearch engine.
- Factored.AI
- Implemented a Zero-Shot classification system for various use cases using NLP SOTA, dockers and Fast-API.
- Worked on creating a Curriculum Vitae(CV) parsing system where it can extract all the needed information from it using NER modules and other NLP algorithms.
- Created an HR Matching tool , helps to match candidates with job descriptions and gives a score to each candidate with a proper explanation to each score.
AI Engineer at Integrated Development, Egypt, Nov 2018 - Apr 2019
- Developed Arabic NLP modules like chatbots, intent detection and NER.
- Helped in developing an online travel agency platform using AI technology to facilitate and improve user experience, solving problems like record linkage database with ML.
- R&D in stock market prediction with reinforcement learning and time series forecasting.
- Developed an automated testing system for stock market predictions using trading indicators and hypothesis testing.
Machine Learning Developer at Egyx.ai, Egypt, May 2017 - Aug 2018
- Developed Arabic Chatbots for restaurants customer services.
- R&D in AI Arabic home assistant.
Projects
Novel Ensample Learning Approach to Unsupervised Record Linkage
- Implementing a semi supervised approach to solve record linkage database problem.
- The proposed approach is to train a self learning adding automatic seed selection.
- Achieving around 85% accuracy outperforming simpler methods like TF-IDF.
Tweets Author verification
- Research project in which I try to outperform some of the benchmarks with simpler methods.
- Calculating Z scores for top N-words and compare them together.
- Used SVM classier with a different set of features like lexical diversity and number of hashtags.
- Used one-shot learning with the Siamese network to achieve 87% accuracy.
MASRI(GP)
- A home assistant that takes voice commands and perform services.
- Controlling smart devices , playing music and scheduling tasks etc.
- Responsible for Voice recognition modules, trigger word, Text To Speech.
- Deployed the services on Heroku Server with Django.
- The project won IEEE Hackathon and joined the Nile University accelerator program and got funded.
Mwaslaty App
- Android App helps the user to find the best transportation to reach a certain destination.
- worked with PHP to deal with the database using SQL to insert and acquire data.
- Deployed the service on backend server with PHP and Django.
Awards and Certificates
- A graduate of Next Technology Leader(NTL) program which is held every year in Smart Village Egypt.
- Over 20 Coursera and Udacity courses on machine learning, python programming, data analysis
Technical Skills
Programming
python, C/C++, R, SQL, mongoDB
Machine Learning
linear/logistic regression, KNN, SVM, randomforest, XGBoost, sklearn
Deep Learning
RNN, CNN, transformers, keras, pyTorch, tensorFlow, huggingface
Data Analysis
statistical tests, P-value, visualizations, descriptive/inferential statistics, plotly, matplotlib, scipy
Mathematics/Statistics
vectors, matrices, differential/integral calculus, random variables, probability distributions, Bayesian statistics
Miscellaneous
Linux/Ubuntu, AWS stack, docker, fast-API, scrapy, Elasticsearch
Ahmed Magdy
[email protected] • Medellin, Colombia
Computer Science Engineer, love everything related to technology, interested in Machine learning/AI, also a bit of gamer.
Education
Helwan University, Bachelor of Engineering Sep 2018
Major: computer science
GPA: very good (the tenth)
Work Experience
Machine Learning Engineer at AI Fund, Colombia, Oct 2019 - present
- Rustle.co
- Developed a customer service AI platform for better customer support quality.
- Developed an automated data pipeline for extracting/scraping data from CS websites using MongoDB and AWS with S3.
- Deployed a Question-Answering NLP system over HTML text to answer CS questions given a company knowledge base using AWS and Fast-API.
- Deployed a Search Engine system using Elasticsearch engine.
- Factored.AI
- Implemented a Zero-Shot classification system for various use cases using NLP SOTA, dockers and Fast-API.
- Worked on creating a Curriculum Vitae(CV) parsing system where it can extract all the needed information from it using NER modules and other NLP algorithms.
- Created an HR Matching tool , helps to match candidates with job descriptions and gives a score to each candidate with a proper explanation to each score.
AI Engineer at Integrated Development, Egypt, Nov 2018 - Apr 2019
- Developed Arabic NLP modules like chatbots, intent detection and NER.
- Helped in developing an online travel agency platform using AI technology to facilitate and improve user experience, solving problems like record linkage database with ML.
- R&D in stock market prediction with reinforcement learning and time series forecasting.
- Developed an automated testing system for stock market predictions using trading indicators and hypothesis testing.
Machine Learning Developer at Egyx.ai, Egypt, May 2017 - Aug 2018
- Developed Arabic Chatbots for restaurants customer services.
- R&D in AI Arabic home assistant.
Projects
Novel Ensample Learning Approach to Unsupervised Record Linkage
- Implementing a semi supervised approach to solve record linkage database problem.
- The proposed approach is to train a self learning adding automatic seed selection.
- Achieving around 85% accuracy outperforming simpler methods like TF-IDF.
Tweets Author verification
- Research project in which I try to outperform some of the benchmarks with simpler methods.
- Calculating Z scores for top N-words and compare them together.
- Used SVM classier with a different set of features like lexical diversity and number of hashtags.
- Used one-shot learning with the Siamese network to achieve 87% accuracy.
MASRI(GP)
- A home assistant that takes voice commands and perform services.
- Controlling smart devices , playing music and scheduling tasks etc.
- Responsible for Voice recognition modules, trigger word, Text To Speech.
- Deployed the services on Heroku Server with Django.
- The project won IEEE Hackathon and joined the Nile University accelerator program and got funded.
Mwaslaty App
- Android App helps the user to find the best transportation to reach a certain destination.
- worked with PHP to deal with the database using SQL to insert and acquire data.
- Deployed the service on backend server with PHP and Django.
Awards and Certificates
- A graduate of Next Technology Leader(NTL) program which is held every year in Smart Village Egypt.
- Over 20 Coursera and Udacity courses on machine learning, python programming, data analysis
Technical Skills
Programming
python, C/C++, R, SQL, mongoDB
Machine Learning
linear/logistic regression, KNN, SVM, randomforest, XGBoost, sklearn
Deep Learning
RNN, CNN, transformers, keras, pyTorch, tensorFlow, huggingface
Data Analysis
statistical tests, P-value, visualizations, descriptive/inferential statistics, plotly, matplotlib, scipy
Mathematics/Statistics
vectors, matrices, differential/integral calculus, random variables, probability distributions, Bayesian statistics
Miscellaneous
Linux/Ubuntu, AWS stack, docker, fast-API, scrapy, Elasticsearch