CakeResume Talent Search

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4-6 năm
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Avatar of abraham agung.
Avatar of abraham agung.
Supervisor Digital Marketing @Royal ATK
2021 ~ 2023
Data Entry
Trong vòng hai tháng
Abraham Agung Pengalaman Kerja Selama 9 Tahun 10 Bulan Di Royal ATK di berbagai posisi mulai dari Pramuniaga , Kasir , Logistik , Supervisor Resto , Supervisor Digital Marketing. Pencapaian paling berkesan saat menangani divisi digital marketing yang mulai 0 sampai menyentuh angka 117 juta per bulan. So Thank You for Experience and keep do the best. Malang, Malang City, East Java, Indonesia Pengalaman Kerja MaretFebruari 2023 Supervisor Digital Marketing Royal ATK Mengawali divisi baru lagi dengan tim awal saya sendiri. Mengembangkan menjadi tim beranggotakan 6 orang yang mengembangkan dan mengoptimalkan penjualan online Royal ATK malang melalui Shopee & Tokopedia.
Word
PowerPoint
Excel
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
SMA Negeri 9 Malang
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Avatar of the user.
資料分析師 Data Analyst @Portto 門戶科技| Blocto
2022 ~ 2024
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Trong vòng một tháng
python
R
MySQL
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
臺灣大學
流行病學與預防醫學所 生物統計組
Avatar of the user.
Avatar of the user.
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
Trong vòng một tháng
Data Science
Data Analysis
Machine Learning
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
洛桑聯邦理工學院(EPFL)
神經科學
Avatar of 梁賦康 (Foo-Hong, Leong).
Avatar of 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
Trong vòng một tháng
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
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
國立成功大學 National Cheng Kung University
Mechanical Engineering
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Avatar of the user.
Past
Senior Data Analyst @趨勢科技
2022 ~ Hiện tại
Data Scientist, Data Analyst, Machine Learning Engineer
Trong vòng một tháng
python
R
SQL
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
輔仁大學 Fu Jen Catholic University
統計資訊學系
Avatar of 江易倫.
Avatar of 江易倫.
Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
Trong vòng một tháng
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力,擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Python
SQL
NLP
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chengchi University
資訊科學系
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
Trong vòng một tháng
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
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立臺北科技大學
資訊工程
Avatar of 宋浩茹 Ellie Sung.
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
Trong vòng một tháng
medical Q&A applications, improving model performance by 2.01% . Efficiency Optimization: Utilized Low-Rank Adaptation (LoRA) for training LLM, reducing parameter training volume to 2% , decreasing memory usage by 70%, and increasing training speed by 25%. Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ G itHub ] Graduate Research Assistant OctOct 2023 Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) Publication: Published in ACM CIKMSequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models . [ Paper | GitHub
Python
R
Natural Language Processing (NLP)
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
國立政治大學(National Chengchi University)
資訊科學系
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
Trong vòng một tháng
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
Python
Data Analysis
Data Science
Thất nghiệp
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
中國醫藥大學(China Medical University)
臨床醫學研究所
Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ Hiện tại
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
Trong vòng một tháng
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
Đã có việc làm
Sẵn sàng phỏng vấn
Full-time / Quan tâm đến làm việc từ xa
4-6 năm
National Chiao-Tung University
Ph.D. - Clinical Engineering

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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
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Trong vòng một tháng
Ph.D
C-Media Electronics
2020 ~ 2021
Hsinchu City, 台灣
Professional Background
Tình trạng hiện tại
Trong thời kỳ quân ngũ
Tiến trình tìm việc
Professions
Machine Learning Engineer, Nhà nghiên cứu, Research / R&D
Fields of Employment
Trí tuệ nhân tạo/ Máy học, Phần mềm, Kết nối vạn vật
Kinh nghiệm làm việc
1-2 năm kinh nghiệm làm việc (4-6 năm liên quan)
Management
I've had experience in managing 1-5 nhân viên
Kỹ năng
Python
pytorch
tensorflow
git
Docker
Linux
matlab
AWS
GCP
mlflow
w&b
sklearn
numpy
pandas
keras
Matplotlib
Ngôn ngữ
English
Chuyên nghiệp
Chinese
Bản địa hoặc song ngữ
Job search preferences
Vị trí
Machine Learning Scientist, Data Scientist
Loại hình công việc
Full-time
Địa điểm
Taiwan, United States, United Kingdom, Ireland, Germany, Switzerland, Czech Republic, Australia, Canada
Làm việc từ xa
Quan tâm đến làm việc từ xa
Freelance
Đúng, tôi là một freelancer nghiệp dư.
Học vấn
Trường học
清華大學
Chuyên ngành
電機工程
In

Hao-Chun (Chad) Yang

Ph.D

Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow

  Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road, 30013 Hsinchu City, Taiwan

       

Skills

Programming


  • Programming: Python, Matlab
  • DevOps: AWS, GCP, Git, Docker
  • Deep Learning: Pytorch, Tensorflow, Keras
  • ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib
  • MLOps: MLflow, W&B

Special Honors


  • 2021 - Best Challenge Poster - Physionet/CINC Challenge
  • 2019 - Travel Grants - IEEE SPS Society
  • 2017 - President Scholarship - NTHU

Education


  • National Tsing Hua University
    Ph.D. in Electrical Engineering
    (Sep. 2016 - Present)
  • National Tsing Hua University
    B.S. in Electrical Engineering
    (Sep. 2012 - July 2016)

Research Projects

Sep.2018 - May.2022

Affective Physiological Responses under Multimedia Stimuli

- Improve physiological emotion recognition by 3.5% UAR using Transformer-based User-Centered modeling.
- Improve physiological personality recognition by 8% UAR through Auditorial-Visual guided Graphical Attention Networks.

Sep.2016 - May.2022

Study of The Alzheimer using Brain Imaging

- Propose a Privacy-aware learning strategy FedCM improving heterogeneity Federated Learning on Medical Images.
- Brought neuroscientific insights into the brain’s functional connectivity and the mechanism of face processing and memory.

Jan.2021 - Dec.2021

Cardiovascular Disease Detection

- Propose a Mixed-Domain Self-Attention Resnet (MDARsn) using Reduced-Lead ECG for Heart Disease Detection.
- Winner of the Best Challenge Poster in PhysioNet/CinC Challenge 2021.

Sep.2018 - May.2022

The Effects of Task and Social Reflexivity on Group Performance

- Study on Acoustic/Linguistic and Physiological signals fusion algorithms for group dynamics modeling.
- Design a Multi-modality Multi-subjects group interaction dataset.

Enterprise Corporation

Jan 2020 - Dec 2021

Senior Machine Learning Engineer  | C-Media Electronics

- Develop real-time deep CRNN AI de-reverberation engine with SRMR 4.774.
- Lead development of speech cloning from unseen sources using Generative Adversarial Networks.

Mar 2020 - Nov 2020

Senior Machine Learning Engineer  | Institute for Information Industry (III)

- Lead the development of deep video retrieval system speeding up the fake news screening using Pytorch and Ranking algorithm.
- Build the system with Flask and Docker with Retrieval Precision 95.1%.
- The system would be deployed by two NGO fake news checkersTaiwan FactCheck Center and MyGoPen.

Jan 2018 - Jan 2019

Machine Learning Engineer  | beBit, Inc.

- Shopping conversion prediction based on user website traversal graph.
- Customer pattern recognition for automatically clustering user groups for precise marketing.

Sep 2016 - Sep 2018

Machine Learning Engineer  | Gamania Digital Entertainment Co., Ltd.

- Develop deep Speech/Face/Gesture Multi-modal behavior profiling system for AI hiring recommendation.
- Construct a Multi-person Multi-modal real-time data collection system.

Selected Publications (Google Scholar Profile)

JOURNAL

1. Hao-Chun Yang and Chi-Chun Lee, “A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology” IEEE Transactions on Affective Computing (IF 10.5)

PEER-REVIEWED CONFERENCE/WORKSHOP PAPER

1. Ya-Lin Huang, Hao-Chun Yang, and Chi-Chun Lee, “Federated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRI” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, (Virtual), Nov 1-5, 2021

2. Hao-Chun Yang, Wan-Ting Hsieh, and Pei-Chun Chen, “A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram” Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15

3. Woan-Shiuan Chien, Hao-Chun Yang, and Chi-Chun Lee, “Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network” MM ’20: The 28th ACM International Conference on Multimedia, ACMMM 2020, Virtual Event / Seattle, WA, USA, October 12-16, 2020

4. Hao-Chun Yang and Chi-Chun Lee, “A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology” 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020

Resume
Hồ sơ của tôi

Hao-Chun (Chad) Yang

Ph.D

Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow

  Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road, 30013 Hsinchu City, Taiwan

       

Skills

Programming


  • Programming: Python, Matlab
  • DevOps: AWS, GCP, Git, Docker
  • Deep Learning: Pytorch, Tensorflow, Keras
  • ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib
  • MLOps: MLflow, W&B

Special Honors


  • 2021 - Best Challenge Poster - Physionet/CINC Challenge
  • 2019 - Travel Grants - IEEE SPS Society
  • 2017 - President Scholarship - NTHU

Education


  • National Tsing Hua University
    Ph.D. in Electrical Engineering
    (Sep. 2016 - Present)
  • National Tsing Hua University
    B.S. in Electrical Engineering
    (Sep. 2012 - July 2016)

Research Projects

Sep.2018 - May.2022

Affective Physiological Responses under Multimedia Stimuli

- Improve physiological emotion recognition by 3.5% UAR using Transformer-based User-Centered modeling.
- Improve physiological personality recognition by 8% UAR through Auditorial-Visual guided Graphical Attention Networks.

Sep.2016 - May.2022

Study of The Alzheimer using Brain Imaging

- Propose a Privacy-aware learning strategy FedCM improving heterogeneity Federated Learning on Medical Images.
- Brought neuroscientific insights into the brain’s functional connectivity and the mechanism of face processing and memory.

Jan.2021 - Dec.2021

Cardiovascular Disease Detection

- Propose a Mixed-Domain Self-Attention Resnet (MDARsn) using Reduced-Lead ECG for Heart Disease Detection.
- Winner of the Best Challenge Poster in PhysioNet/CinC Challenge 2021.

Sep.2018 - May.2022

The Effects of Task and Social Reflexivity on Group Performance

- Study on Acoustic/Linguistic and Physiological signals fusion algorithms for group dynamics modeling.
- Design a Multi-modality Multi-subjects group interaction dataset.

Enterprise Corporation

Jan 2020 - Dec 2021

Senior Machine Learning Engineer  | C-Media Electronics

- Develop real-time deep CRNN AI de-reverberation engine with SRMR 4.774.
- Lead development of speech cloning from unseen sources using Generative Adversarial Networks.

Mar 2020 - Nov 2020

Senior Machine Learning Engineer  | Institute for Information Industry (III)

- Lead the development of deep video retrieval system speeding up the fake news screening using Pytorch and Ranking algorithm.
- Build the system with Flask and Docker with Retrieval Precision 95.1%.
- The system would be deployed by two NGO fake news checkersTaiwan FactCheck Center and MyGoPen.

Jan 2018 - Jan 2019

Machine Learning Engineer  | beBit, Inc.

- Shopping conversion prediction based on user website traversal graph.
- Customer pattern recognition for automatically clustering user groups for precise marketing.

Sep 2016 - Sep 2018

Machine Learning Engineer  | Gamania Digital Entertainment Co., Ltd.

- Develop deep Speech/Face/Gesture Multi-modal behavior profiling system for AI hiring recommendation.
- Construct a Multi-person Multi-modal real-time data collection system.

Selected Publications (Google Scholar Profile)

JOURNAL

1. Hao-Chun Yang and Chi-Chun Lee, “A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology” IEEE Transactions on Affective Computing (IF 10.5)

PEER-REVIEWED CONFERENCE/WORKSHOP PAPER

1. Ya-Lin Huang, Hao-Chun Yang, and Chi-Chun Lee, “Federated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRI” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2021, (Virtual), Nov 1-5, 2021

2. Hao-Chun Yang, Wan-Ting Hsieh, and Pei-Chun Chen, “A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram” Computing in Cardiology, CinC 2020, Brno, Czech Republic, September 12-15

3. Woan-Shiuan Chien, Hao-Chun Yang, and Chi-Chun Lee, “Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network” MM ’20: The 28th ACM International Conference on Multimedia, ACMMM 2020, Virtual Event / Seattle, WA, USA, October 12-16, 2020

4. Hao-Chun Yang and Chi-Chun Lee, “A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology” 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020