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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 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
Avatar of 潘揚燊.
Avatar of 潘揚燊.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City,Taiwan •  [email protected] 希望職務:人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好,我是潘揚燊,目前任職於 聯華電子 , 擔任 智慧製造 全端開發工程師 , 畢業於元智大學工業工程與管理學系研
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
工業工程與管理學系所

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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
Logo of 脈動心聯.
脈動心聯
2020 ~ 2022
台灣臺北市
Professional Background
Current status
Unemployed
Job Search Progress
Professions
Machine Learning Engineer, Software Engineer, Back-end Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
1-2 years
Management
None
Skills
Python
PHP
MySQL
Linux
JavaScript
HTML
CSS
Languages
Chinese
Native or Bilingual
English
Intermediate
Job search preferences
Positions
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
Job types
Full-time
Locations
台灣臺北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
國立台灣大學
Major
資料科學與智慧網路
Print

李政旻 Cheng-Min Lee

臺灣大學電信碩士 主修資料科學

學位研究:掌紋影像辨識

       

[email protected]

學歷

國立台灣大學

電信工程所 資料科學與智慧網路  •  2019 - 2022

  • 研究主題:Data Augmentation for Cross-Domain Palmprint Recognition
  • 國科會計畫:Indoor localization in cellular networks through machine learning

國立臺灣科技大學

電機工程  •  2014 - 2018

工作經歷

九月 2019 - 九月 2022

研究助理

無線網路通信實驗室

針對深度學習方法在跨資料集的掌紋辨識上,提出 4 種方法進行改善,在 3 個公開資料集上測試的準確度都可以達到 99.6% 以上

  • 應用 Optuna 框架和 TPE sampler 對訓練期間的 data warping 進行 hyper-parameter optimization,提高 12.55% 的準確度
  • 提出將旋轉作為 oversampling 方法來擴增訓練資料,最多可使資料集擴大 4 倍,在前者之上提高準確度 5.34%
  • 基於 test-time augmentation 和影像旋轉及映射,設計出 multi-transform matching,最多可將一張影像轉換成 8 張來輔助特徵比對,除了提高辨識穩定度,還能再提升 4.66% 的準確度
  • 針對掌紋影像的結構特性調整 ResNeSt-50 的架構,減少 63.37% 的參數量,同時具有更高效的收斂速度,以及更分明的特徵萃取能力

十一月 2020 - 九月 2022

後端工程師

脈動心聯

  • 參與公司各項數位轉型專案,整合公司產品如廣告推播系統、人流分析和臉部辨識等,並協助場域落地實踐,完成數十家商店的 PoC 專案
  • 重新設計 PoC 專案製作的系統成模板,減少應用到其他專案的開發時間
  • 以 LAMP 架構為互動科技展覽建構後端資料庫,在為期 24 天的展覽中蒐集 80 台以上的裝置活動紀錄,監控裝置心跳並分析各點即時人流量
  • 開發網頁養成遊戲,以 Laravel 製作遊戲的後端伺服器,包含遊戲紀錄資料庫和串接 API,此外,使用 swagger 製作文件加速團隊測試驗證
  • 使用 PHP 及雲端虛擬機器(GCP)為商圈活動製作闖關抽獎的後台系統,並結合 Line login 和 Line message API 來進行會員綁定和訊息通知

程式開發


  • Python
  • PHP
  • C++
  • Java

機器學習


  • PyTorch
  • Optuna
  • Scikit-learn
  • UMAP

網站後端


  • Laravel
  • L5-swagger
  • Flask
  • MySQL
Resume
Profile

李政旻 Cheng-Min Lee

臺灣大學電信碩士 主修資料科學

學位研究:掌紋影像辨識

       

[email protected]

學歷

國立台灣大學

電信工程所 資料科學與智慧網路  •  2019 - 2022

  • 研究主題:Data Augmentation for Cross-Domain Palmprint Recognition
  • 國科會計畫:Indoor localization in cellular networks through machine learning

國立臺灣科技大學

電機工程  •  2014 - 2018

工作經歷

九月 2019 - 九月 2022

研究助理

無線網路通信實驗室

針對深度學習方法在跨資料集的掌紋辨識上,提出 4 種方法進行改善,在 3 個公開資料集上測試的準確度都可以達到 99.6% 以上

  • 應用 Optuna 框架和 TPE sampler 對訓練期間的 data warping 進行 hyper-parameter optimization,提高 12.55% 的準確度
  • 提出將旋轉作為 oversampling 方法來擴增訓練資料,最多可使資料集擴大 4 倍,在前者之上提高準確度 5.34%
  • 基於 test-time augmentation 和影像旋轉及映射,設計出 multi-transform matching,最多可將一張影像轉換成 8 張來輔助特徵比對,除了提高辨識穩定度,還能再提升 4.66% 的準確度
  • 針對掌紋影像的結構特性調整 ResNeSt-50 的架構,減少 63.37% 的參數量,同時具有更高效的收斂速度,以及更分明的特徵萃取能力

十一月 2020 - 九月 2022

後端工程師

脈動心聯

  • 參與公司各項數位轉型專案,整合公司產品如廣告推播系統、人流分析和臉部辨識等,並協助場域落地實踐,完成數十家商店的 PoC 專案
  • 重新設計 PoC 專案製作的系統成模板,減少應用到其他專案的開發時間
  • 以 LAMP 架構為互動科技展覽建構後端資料庫,在為期 24 天的展覽中蒐集 80 台以上的裝置活動紀錄,監控裝置心跳並分析各點即時人流量
  • 開發網頁養成遊戲,以 Laravel 製作遊戲的後端伺服器,包含遊戲紀錄資料庫和串接 API,此外,使用 swagger 製作文件加速團隊測試驗證
  • 使用 PHP 及雲端虛擬機器(GCP)為商圈活動製作闖關抽獎的後台系統,並結合 Line login 和 Line message API 來進行會員綁定和訊息通知

程式開發


  • Python
  • PHP
  • C++
  • Java

機器學習


  • PyTorch
  • Optuna
  • Scikit-learn
  • UMAP

網站後端


  • Laravel
  • L5-swagger
  • Flask
  • MySQL