CakeResume Talent Search

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4-6 years
6-10 years
10-15 years
More than 15 years
Avatar of Emily Ledoux.
Avatar of Emily Ledoux.
Principal @Cascade Data Labs
2016 ~ 2022
Director Data
Within two months
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
PowerPoint
Word
Excel
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Pennsylvania
Economics
Avatar of Sean Lee.
Avatar of Sean Lee.
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司
2022 ~ Present
Software Developer
Within one month
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
JavaScript
ASP.NET MVC
HTML5
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Queensland University of Technology(昆士蘭科技大學)
Computer Science
Avatar of the user.
Avatar of the user.
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ Present
Within two months
nlp machine learning
+python
AI & Machine Learning
Employed
Full-time
4-6 years
國立中央大學
認知與神經科學所
Avatar of the user.
Avatar of the user.
Senior Backend Developer @KryptoGO., Ltd.
2019 ~ 2020
Senior Backend Engineer
Within three months
Golang
Git
Docker
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National TSING HUA University
Institute of Communications Engineering
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
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
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 the user.
Avatar of the user.
Founder @MyDearTeacher
2014 ~ 2022
Data, backend or project management
Within six months
Python
Machine Learning
Deep Learning
Employed
Full-time / Interested in working remotely
6-10 years
University of Colorado Boulder
Data Science
Avatar of Hafiza Anam Masood.
Avatar of Hafiza Anam Masood.
Sessional Assistant @Victoria University of Wellington
2022 ~ 2023
Researcher, Lecturer
Within six months
Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.
Microsoft Office
Python
Quantitative Research
Studying
Full-time / Interested in working remotely
6-10 years
University of Management and Technology - UMT
Avatar of Ryan Chen.
Avatar of Ryan Chen.
Software Engineer @CakeResume
2022 ~ Present
Software Engineer
Within one month
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
React
TypeScript
JavaScript
Reputation Credits1
Employed
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
Computer Science and Information Engineering
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)

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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)