CakeResume Talent Search

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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
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 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
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Avatar of the user.
Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
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)
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data science lecturer @Ittraining
2020 ~ Present
Data Scientist 資料科學家_數據分析師
Within one month
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
nlp-rasa
recommender system
pytorch tensorflow
Employed
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
School of civil engineering (Stochastic & statistical hydrology)
Avatar of Sourav Bhattacharya.
Avatar of Sourav Bhattacharya.
Senior Manager @Invenics
2023 ~ Present
Within one month
Sourav Bhattacharya Product Development Leader | Generative AI & LLM Greater London, England, Great Britain [email protected]://www.linkedin.com/in/bhattacharyasourav/ As an accomplished Product Lead, I possess over a decade of experience in spearheading the development and management of innovative software solutions. My expertise lies in steering cross-functional teams towards the delivery of cutting-edge technology products that drive company growth and meet evolving market needs. My track record of success reflects my ability to skillfully lead and motivate teams through complex projects, achieving measurable
Product Development
Product Management
LLM
Employed
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
Haldia Institute of Technology
Computer Science
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Avatar of the user.
研發工程師 @中國醫藥大學附設醫院 - 人工智慧醫學診斷中心
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 six months
AI & Machine Learning
Python
tensorflow
Employed
Full-time / Interested in working remotely
6-10 years
國立臺灣大學(博士肄業)
資訊工程學系

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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
New graduate
台灣桃園市
Professional Background
Current status
Unemployed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Python
Data Analytics
PyTorch
keras
Teamwork
R
Linear Regression
Machine Learning
Deep Learning
Statistical Analysis
Languages
Job search preferences
Positions
Job types
Full-time
Locations
Taipei, 台灣, Taoyuán, 台灣, Hsinchu, 新竹市台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
National Yang Ming Chiao Tung University
Major
Statistic
Print

古明章

New graduate

  Taoyuan City, Taiwan

大學時就讀的是數學系,大學的課程影響我最深的是訓練我的邏輯思考能力u以及自學能力,所以在接觸到新的領域時,我往往可以熟悉的比較快。在碩士期間我除了修所上開的統計方面的課之外,我也有修外系所開AI方面的課程,例如機器學習,深度學習。這些課程使我在資料分析上除了可以使用統計方法來分析問題之外也多了其他 AI 方面的演算法來解決問題。

學歷

2019 - 2021

National Yang Ming Chiao Tung University

Statistic

2013 - 2018

National Tsing Hua University

Mathematic


專長


機器學習


  • Regression
  • Random forest
  • SVM
  • KNN
  • GMM

深度學習


  • CNN
  • RNN/LSTM
  • VAE
  • GAN
  • NLP
  • Image classification

進修課程


  • 機器學習
  • 深度學習
  • 多變量分析
  • 資料科學
  • 統計諮詢

語言


  • Chinese - Native
  • English - Professional
  • Python
  • R

碩論


深度遷移學習於胸腔X光影項之多標籤分類

這項研究所使用的資料是義大醫院所提供的 1630 張標註疾病標籤的胸部 X 光影像,而其中每張影像可能包含複數種異常病徵,也就是說這是一個典型 的多標籤分類問題。本研究透過使用三種不同特色的源數據集ImageNet、 CheXpert 和 NIH 胸部X 光影像集來實施深度遷移學習。此外我們也使用三種 不同的方法來結合數據集並期望可以獲得更好的表現。


專案


妥瑞症治療成效分析

與馬偕醫院兒科部合作分析安立富,維生素,舒富寧以及利福全四種藥物對於妥瑞症的治療成效,同時分析各種誘發因子(包含課業壓力、天氣狀 況、人際關係、家庭因素、經期、其他)對於症狀嚴重度的影響。分析方向使用的是一般統計分析的方法,例如: T-test, ANOVA和GEE來分析成效。

PTT 爬蟲

使用beatuful soap 爬取 PTT Beauty版近兩年所有發文裡的圖片,並按照其推文扣掉噓文大於30為界線建立一個模型來對 Beauty版 以前的圖片進行預測,此次作業我使用VAE把圖片特徵萃取之後,觀察最接近的5組分別屬於何種類別來進行分類,最後預測所得的準確率到達80%以上。

GAN

使用國外開放資料集CelebFaces來生成你真的外國人臉,其中使用 soft label, different Optimizer,  spectral norm以及 VAE GAN來達到更好的效果,同時預防 model collapse的發生。


經驗


  • 數學營 活動組,專輔組
  • 數學系系學會活動組
  • 桃友會 家長
  • 中信銀行 天津分行 暑期實習
  • Shopee Code League 2020 參賽
Resume
Profile

古明章

New graduate

  Taoyuan City, Taiwan

大學時就讀的是數學系,大學的課程影響我最深的是訓練我的邏輯思考能力u以及自學能力,所以在接觸到新的領域時,我往往可以熟悉的比較快。在碩士期間我除了修所上開的統計方面的課之外,我也有修外系所開AI方面的課程,例如機器學習,深度學習。這些課程使我在資料分析上除了可以使用統計方法來分析問題之外也多了其他 AI 方面的演算法來解決問題。

學歷

2019 - 2021

National Yang Ming Chiao Tung University

Statistic

2013 - 2018

National Tsing Hua University

Mathematic


專長


機器學習


  • Regression
  • Random forest
  • SVM
  • KNN
  • GMM

深度學習


  • CNN
  • RNN/LSTM
  • VAE
  • GAN
  • NLP
  • Image classification

進修課程


  • 機器學習
  • 深度學習
  • 多變量分析
  • 資料科學
  • 統計諮詢

語言


  • Chinese - Native
  • English - Professional
  • Python
  • R

碩論


深度遷移學習於胸腔X光影項之多標籤分類

這項研究所使用的資料是義大醫院所提供的 1630 張標註疾病標籤的胸部 X 光影像,而其中每張影像可能包含複數種異常病徵,也就是說這是一個典型 的多標籤分類問題。本研究透過使用三種不同特色的源數據集ImageNet、 CheXpert 和 NIH 胸部X 光影像集來實施深度遷移學習。此外我們也使用三種 不同的方法來結合數據集並期望可以獲得更好的表現。


專案


妥瑞症治療成效分析

與馬偕醫院兒科部合作分析安立富,維生素,舒富寧以及利福全四種藥物對於妥瑞症的治療成效,同時分析各種誘發因子(包含課業壓力、天氣狀 況、人際關係、家庭因素、經期、其他)對於症狀嚴重度的影響。分析方向使用的是一般統計分析的方法,例如: T-test, ANOVA和GEE來分析成效。

PTT 爬蟲

使用beatuful soap 爬取 PTT Beauty版近兩年所有發文裡的圖片,並按照其推文扣掉噓文大於30為界線建立一個模型來對 Beauty版 以前的圖片進行預測,此次作業我使用VAE把圖片特徵萃取之後,觀察最接近的5組分別屬於何種類別來進行分類,最後預測所得的準確率到達80%以上。

GAN

使用國外開放資料集CelebFaces來生成你真的外國人臉,其中使用 soft label, different Optimizer,  spectral norm以及 VAE GAN來達到更好的效果,同時預防 model collapse的發生。


經驗


  • 數學營 活動組,專輔組
  • 數學系系學會活動組
  • 桃友會 家長
  • 中信銀行 天津分行 暑期實習
  • Shopee Code League 2020 參賽