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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
Dalam satu bulan
Python
R
Natural Language Processing (NLP)
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Full-time / Tertarik bekerja jarak jauh
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國立政治大學（National Chengchi University）
・
資訊科學系
Avatar of 梁賦康 （Foo-Hong, Leong）.
Avatar of 梁賦康 （Foo-Hong, Leong）.
梁賦康 （Foo-Hong, Leong）
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
Dalam satu bulan
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
Python
Power BI
Data Analytics
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
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Past
Senior Data Analyst @趨勢科技
・
2022 ~ Sekarang
Data Scientist, Data Analyst, Machine Learning Engineer
Dalam satu bulan
python
R
SQL
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
輔仁大學 Fu Jen Catholic University
・
統計資訊學系
Avatar of Nelson Chen.
Avatar of Nelson Chen.
Nelson Chen
Senior engineer @Chicony Electronics Co, Ltd.
・
2018 ~ Sekarang
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
Dalam satu bulan
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
Python
C
C++
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6-10 tahun
National Taiwan Ocean University
・
Computer science and engineering
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Avatar of 傅群.
傅群
Data Science Competition Participant @Self-Employed
・
2020 ~ Sekarang
資料科學家
Dalam satu bulan
傅群| [email protected] https://www.linkedin.com/in/chun-fu/ https://www.kaggle.com/patrick0302 我是一名擁有豐富機器學習和數據分析經驗的專業人士，包含了學術界的博士學歷及豐富的業界經驗，尤其在能源和建築領域有著全面的專案經驗。以下是我職業生
Microsoft Office
python
machine learning
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4-6 tahun
National University of Singapore
・
Department of building
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Avatar of 蕭舜誠-Shawn.
蕭舜誠-Shawn
Firmware Engineer @Lanner Electronics Inc.
・
2021 ~ Sekarang
Firmware Engineer, Firmware Developer, Embedded Software Engineer
Dalam satu bulan
and a Bachelor’s degree in Electronic Engineering from the NKFUST. Proficient in firmware development using C, with hands-on experience in Embedded Linux System, MCU and Linux System, such as the OOB solution(on NUC980), Platform software Package, and FreeRTOS(on STM32) . comprehended to Python, TensorFlow, and machine learning concepts during university studies. Furthermore, I have proven track record of independently tackling challenging technical projects and embracing new technologies. I am passionate about continuous learning and self-improvement, as evidenced by my engagement in OOB solution, FreeRTOS, Yocto Linux kernel and machine learning with Python
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國立高雄科技大學（原國立高雄第一科技大學）
・
電子工程
Avatar of 鄒適文.
Avatar of 鄒適文.
鄒適文
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
・
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
Dalam satu bulan
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
python
tensorflow
keras
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4-6 tahun
台灣大學
・
大氣科學所
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GISH Shao
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司
・
2022 ~ Sekarang
AI Engineer
Dalam satu bulan
retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform
Python
SQL
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4-6 tahun
國立台灣大學 National Taiwan University
・
Business Administration
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曾儀婷
Cloud Solution Architect
Dalam dua bulan
improve custo mer targeting, efficiency of back-office operations, and reduced costs through AWS IoT, Big Data, and Machine Learning solutions # AWS IoT Core, AWS IoT Event, AWS IoT Analytics, AWS Greengrass, AWS Glue, AWS Kinesis Service, AWS S3, AWS API Gateway, AWS lambda, AWS Step Function Design hands-on tutorials for the training course - AWS solutions architect, security, Develop, IoT, big data, and Machine Learning tutorials - Azure solutions architect Develop and Design patten for e-learning platform - Designed strict lab policy for e-learning platform lab and reducing 75% of the total cost - Azure pat...
JavaScript
Python
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4-6 tahun
國立臺灣科技大學
・
資訊管理
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資料科學家 主任 @太古汽車集團_英屬維京群島商太古國際汽車股份有限公司台灣分公司
・
2022 ~ Sekarang
Data Scientist, Data Analyst, Machine Learning Engineer, Supply Chain Manager, Data Science Manager,
Dalam satu bulan
SEO Optimization
SEO strategy
Google Analytics
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
麻省理工學院Massachusetts Institute of Technology
・
Data Science and Machine Learning

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Dalam tiga bulan
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黃鈺倫
Machine Learning Engineer / Orchestra Conductor
Logo of Binflux Inc..
Binflux Inc.
・
2021 ~ Sekarang
台灣新北市
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Software Engineer
Bidang Pekerjaan
Software
Pengalaman Kerja
2-4 tahun
Management
Saya berpengalaman mengelola 5-10 orang
Keterampilan
Python
Bahasa
Preferensi Pencarian Pekerjaan
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大數據分析,資料科學家,資料工程師,AI工程師
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Lokasi
台灣台北
Bekerja jarak jauh
Tertarik bekerja jarak jauh
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National Taiwan University
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null
Cetak

黃鈺倫｜Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience


Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project

E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education


Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration

CV
Profil
Cetak

黃鈺倫｜Alan
         

Summary
Machine learning engineer with experience in designing and implementing data pipelines, ETL workflows, working with big data technologies, and building AI models and services.

Skill
Python, SQL, NoSQL, Data Warehouse, AWS, Airflow, Spark, Docker, Ansible, Pytorch, Tensorflow.

Work Experience


Machine Learning Engineer  • Binflux Inc.

Oct 2021 - Now

  • Improved 80% efficiency and reduced manual intervention by designing and building ETL workflows and batch processing pipelines from scratch for AI products using Airflow and Python.

  • Reduced data processing time by 50% through implementing incremental data loading to optimize ETL processes.

  • Reduced data errors by 75% through implementing data validation to optimize data pipelines.

  • Designed and built a deep learning pipeline from scratch to monitor embryos using Python, MLflow, Hydra, Pytorch Lightning.

    • Reached 99.9% accuracy, comparable to SOTA.

    • Improved 10% accuracy in the more challenging scenario by further introducing new learning methodologies.

  • Improved a deep/machine learning pipeline to conduct embryo selection using Python, MLflow, Hydra, Tensorflow.

    • Increased 10% AUC and generalizability by combining heterogeneous data. 

    • Improved 2x data privacy and security by introducing decentralized learning.

    • Reduced 66% manual intervention by building a one-command decentralized training pipeline using Ansible.

  • Built and maintained AI services of previous pipelines using FastAPI, Tensorflow Serving, MariaDB, MongoDB, Redis, Docker and Docker Compose.

  • Edited and wrote 3 papers for journal publication: Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol, and 2 WIP.

Data Engineer Intern  • Flow Inc. AI Department, Data Team

Aug 2020 - Jan 2021

  • Increased 2x processing speed and improved 50% data accuracy by designing and building ETL workflows using Google Apps Script / Python.

  • Designed a data warehouse for the data analysis team.

  • Designed and built Power BI dashboards and KPIs.

  • Evaluated machine learning algorithms for specific projects.

Side Project

E-commerce data pipeline


  • Developed a batch processing pipeline using Python, Airflow, Spark, AWS S3, AWS EMR, AWS Redshift and Terraform.

  • Built a real-time recommendation service using Elasticsearch and FastAPI.

Education


Sep 2013 - Jun 2017

National Taiwan University, Bachelor

Business Administration