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4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of abraham agung.
Avatar of abraham agung.
Supervisor Digital Marketing @Royal ATK
2021 ~ 2023
Data Entry
Within two months
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
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
SMA Negeri 9 Malang
Avatar of the user.
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
Within one month
python
R
MySQL
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
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
Within one month
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 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
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
Python
Power BI
Data Analytics
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
Mechanical Engineering
Avatar of the user.
Avatar of the user.
Past
Senior Data Analyst @趨勢科技
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
python
R
SQL
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
Avatar of 江易倫.
Avatar of 江易倫.
Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
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
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
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
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 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
Within one month
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)
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
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
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
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 Chun-Jung Huang.
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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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
台灣基隆
Professional Background
Current status
Unemployed
Job Search Progress
Not open to opportunities
Professions
Machine Learning Engineer
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Tensorflow/Keras
OpenCV
Pandas Scikit-Learn Matplotlib
python programming
Deep learning with TensorFlow
Machine Learning
Languages
English
Intermediate
Job search preferences
Positions
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
Job types
Full-time
Locations
台灣台北市
Remote
Interested in working remotely
Freelance
No
Educations
School
淡江大學
Major
資訊工程學系
Print

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

淡江大學資訊工程碩士

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習|影像處理 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術,並將其應用於醫療影像的判讀以及醫療報告生成,期許利用自身所學,降低醫療系統的龐大負擔。在學期間曾參加全國性競賽,並於2019全國智慧製造大數據競賽成功進入決賽,以及2021 Tomofun狗音辨識AI挑戰賽排名前9%,樂於應用自身所學解決各領域所遇到的問題。

Skills

Programing & IDEs


  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package


  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms


  • Data Preprocessing
  • Feature Engineering 
  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning


  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification
  • Image Captioning

  • CNN

  • BERT

競賽經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型,排名前9% (27/300)。 

關鍵字:  log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料,預測其中20個設定參數的數據。

指導兩位淡江機電系大學生組隊參加,負責演算法開發,資料前處理。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

與兩位淡江機電系研究生組隊參加,負責演算法開發資料前處理 

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

其他經歷


 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師,負責淡江資工系大學生App Inventor 2  課程,使用App Inventor 2 做出Android App,提升大學生的程式基本概念。

 Aug 2016 - Aug 2017

法務部行政執行署高雄分署-替代役管理幹部

於行政執行署高雄分署服役時,擔任替代役管理幹部,協助長官管理役男生活起居,輔助長官完成交辦事項。

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫,使用VGG以及ResNet做為影像特徵擷取模型,並使用 Conditional Layer Normalization,來控制 BERT 生成相對應的文字報告,最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet,可達到 BLEU-1 : 0.636,其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料,利用Opencv影像經過膨脹處理,使用Otsu二值化做背景去除&手勢定位,利用VGG-19建立分類模型,模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features,堆疊成三維影像做為訓練資料,並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構,測試準確率91.2%ROC Curve score 為 0.981在競賽中排名前9% (27/300)


Resume
Profile

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

淡江大學資訊工程碩士

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習|影像處理 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術,並將其應用於醫療影像的判讀以及醫療報告生成,期許利用自身所學,降低醫療系統的龐大負擔。在學期間曾參加全國性競賽,並於2019全國智慧製造大數據競賽成功進入決賽,以及2021 Tomofun狗音辨識AI挑戰賽排名前9%,樂於應用自身所學解決各領域所遇到的問題。

Skills

Programing & IDEs


  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package


  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms


  • Data Preprocessing
  • Feature Engineering 
  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning


  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification
  • Image Captioning

  • CNN

  • BERT

競賽經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型,排名前9% (27/300)。 

關鍵字:  log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料,預測其中20個設定參數的數據。

指導兩位淡江機電系大學生組隊參加,負責演算法開發,資料前處理。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

與兩位淡江機電系研究生組隊參加,負責演算法開發資料前處理 

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

其他經歷


 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師,負責淡江資工系大學生App Inventor 2  課程,使用App Inventor 2 做出Android App,提升大學生的程式基本概念。

 Aug 2016 - Aug 2017

法務部行政執行署高雄分署-替代役管理幹部

於行政執行署高雄分署服役時,擔任替代役管理幹部,協助長官管理役男生活起居,輔助長官完成交辦事項。

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫,使用VGG以及ResNet做為影像特徵擷取模型,並使用 Conditional Layer Normalization,來控制 BERT 生成相對應的文字報告,最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet,可達到 BLEU-1 : 0.636,其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料,利用Opencv影像經過膨脹處理,使用Otsu二值化做背景去除&手勢定位,利用VGG-19建立分類模型,模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features,堆疊成三維影像做為訓練資料,並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構,測試準確率91.2%ROC Curve score 為 0.981在競賽中排名前9% (27/300)