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Avatar of 江長志.
Avatar of 江長志.
技術總監 L2 @和雲行動服務股份有限公司 (和泰汽車集團)
2022 ~ Present
Project Lead / Tech Lead / Team Lead / Senior Engineer
Within one month
Python、K8s、微服務、FastAPI、Django和專案管理, CI/CD 工作經歷 技術總監 L2 • 和雲行動服務股份有限公司 (和泰汽車集團) 六月Present | Taipei, Taiwan ★ 擔任 Python Team Lead 一職 ★ 從零開始建立Python團隊, 包含: CI/CD, Coding Style, Team Groud Rule. ★ 開發Vehicle Gateway系統,實現每分鐘處理4000次請求 ★ 為PM & Engineer & 利害
django
Python
django rest framework
Reputation Credits1
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Asia University / 亞洲大學
生物資訊
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 顏士傑.
Avatar of 顏士傑.
Junior Project Manager @fable 寓意科技
2024 ~ Present
Data mining ,Bigdata Architecture,python developer
Within one month
顏士傑 | Andrew 最純粹的動能是 :「享受交付任務,並透過自身貢獻創造改變的過程」 : [email protected] :Taoyuan City, Taiwan Hi 我是Andrew, 目前正擔任Android Devices QA Tester,在職涯發展的過程裡漸漸發覺自己相較於講究重複且規律的測試工作。 在工作上遇到能與各部門討論,甚至參與一
Communication Skills
Empowering Others
Coaching & Mentoring
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
銘傳大學 Ming Chuan University, MCU
Computer Communication Engineer
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、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
Within one month
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究所。 熟悉 Python、C#、R 語言,能善用人工智慧、深度學習、影像處理、統計分析、數據分析與文字探勘等;也曾使用 Flexsim 3D 模擬系統,來建立各種
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
工業工程與管理學系所
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of the user.
Avatar of the user.
Past
Senior QA engineer @DeepHow
2023 ~ Present
QA automation engineer / Software development engineer in test
Within one month
Python
Appium
SQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
應用數學系 統計組
Avatar of the user.
Avatar of the user.
高級工程師 @Zyxel Networks_兆勤科技股份有限公司(合勤集團)
2019 ~ Present
Software Engineer
Within one month
Python
Linux
Shell
Employed
Ready to interview
Full-time / Not interested in working remotely
6-10 years
元智大學
資訊工程
Avatar of 王文祥.
Avatar of 王文祥.
經理 @鴻博資訊有限公司
2015 ~ Present
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Within one month
Taipei, Taiwan Manufacturing Execution System (MES) System Development Product∶ https://docplayer.net/Ibm-high-tech-mes-solution-view-series.html IBM LCDView IBM SiView IBM EAP Educational Background Kun Shan University ( https://www.ksu.edu.tw/ ) Electrical Engineering •Skills Python AOI MES EAP C++ C# Linux Windows Docker Node.js Node-RED Word Database Language Chinese — Native Language English — Technical Document Listening, Speaking, Reading, Writing Summary of Personal Python Programming Experience I am a developer with extensive experience in Python programming, specializing in the development
Python
AOI
MES
Employed
Ready to interview
Full-time / Remote Only
10-15 years
崑工科技大學
電子工程
Avatar of 李孟霖.
Avatar of 李孟霖.
資深資料工程師 @緯創資通股份有限公司
2020 ~ Present
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst、Solution Architect、Cloud Architect
Within one month
評鑑作業效率提升系統建置、居家護理機構平台建置專案(1700萬) 學歷 私立元智大學 工業工程與管理學系 碩士,2016/09~2018/10 (畢業) 私立元智大學 工業工程與管理學系 大學,2012/09~2016/06 (畢業) 技能 程式語言 Python (including Airflow) PostgreSQL 軟體/平台應用 Power Platform (Power BI、Power Automate、PowerApps) UiPath Azure
python
PowerBI
Power Platform
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
工業工程與管理學所
Avatar of the user.
Avatar of the user.
Past
android工程師/後端工程師/資深工程師 @迅智網路
2021 ~ 2024
Within one month
python
FastAPI(Python)
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
長庚大學
電機工程研究所, undefined

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Technical Skills
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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
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Within one month
AI Researcher | Research Assistant @ Academia Sinica
Taipei, Taiwan
Professional Background
Current status
Employed
Job Search Progress
Ready to interview
Professions
Machine Learning Engineer, Data Scientist, Software Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Python
R
Natural Language Processing (NLP)
AI & Machine Learning
MongoDB
SQL
Data Science
PyTorch
Machine Learning
Tensorflow (Keras)
Pandas
WebSocket
RAG
Numpy
LLM
MLFlow
StableDiffusion
prompting
scikit-learn
Huggingface
spacy
Languages
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
Remote
Interested in working remotely
Freelance
Educations
School
國立政治大學(National Chengchi University)
Major
資訊科學系
Print


宋浩茹 Hao-Ru Sung

   0912208677 |     [email protected] |   LinkedIn  GitHub

As a Research Assistant at Academia Sinica, specializing in Generative AI research and application.

With 3+ years of experience in NLP and 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, NLTKGCP, Linux, SQL / NoSQ, Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line BotAzure Bot Service, Tableau

ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT

Research and Work Experience


Research Assistant                                                                                                      Oct 2023 - Present

Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab) 

  • National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs (e.g., LLaMA2, Zephyr.) in 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. [ GitHub ]

Graduate Research Assistant                                                                           Oct 2021 - Oct 2023

Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab) 

TA - Natural Language Processing with Deep Learning Course             Feb 2023 - Jul 2023

National Chengchi University , Dept. of Computer Science

  • Student Count in Class: Served as a Teaching Assistant for NLP,  catering to 90 students.
  • Provided individualized guidance to students, aiding them in completing coursework and research projects, and offering assessments and feedback to ensure effective learning outcomes.

Software Engineer (Founding member)                                                        Sep 2019 - June 2020

DATODING (Start-Up) 《 Microsoft Startup Program - Initial Selection Passed 》

  • Chatbot Development & Full-Stack Development : Executed real-time messaging and multimedia functions using SignalR and WebSocket. Used MongoDB and Redis for message and stream file storage.
  • CI/CD: Executed CI/CD processes using Jenkins.
  • Testing : Unit test, Integration testing, and Selenium test.

Software Engineering Intern                                                                                  Jul 2018 - Sep 2018

Kingston Technology

  • AI - SSD Quality Detection System: Trained image recognition models for AOI equipment and manual defect detectionand developed a system for continuous optimization and automation of the models.
  • Chatbot Development: Integrated the detection model into a chatbot to enable remote operation and monitoring, enhancing the flexibility and convenience of the service.
  • Technical Training: Instructed team on Power BI for data analysis and visualization.

Education


National Chengchi University (NCCU)                                                                    Sep 2021 - Sep 2023

Departmant of Computer Science, Master's Degree                                          

  • GPA: 4.04 / 4.30
  • Advised by Tsai-Yen Li and Hen-Hsen Huang.
  • Essay: Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models.
  • HonorReceived the Academia Sinica Graduate Scholarship.

Publication


Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models

  Hao-Ru Sung , Ying-Jhe Tang , Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang

  In Proceedings of the 32th ACM International Conference on Information and Knowledge    

  Management (CIKM'23).  October 2023 , Birmingham, UK . (Oral Presentation)

  [ Paper  | Github | Video | Poster | Slides ]

Projects


  1. Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
    Focused on updating knowledge summaries of real-time news events to enhance article accuracy. Achieved an 18.8% performance improvement over traditional methods and surpassed SOTA LLMs , e.g., ChatGPT, Llama, and Vicuna. [ GitHub ]

    AwardPublished at the International Conference ACM CIKM 2023.

  2. 2021 AI CUP Competition on Traditional Chinese Scene Text Recognition - Advanced Contest : 
    Text Spotting and Recognition in Complex Streetscapes.
    Developed a Two-Stage Model that, through innovative OCR techniques and data augmentation, achieved a 3.74% increase in accuracy. [ GitHub ]
    Award: Received Top 25% Award. [ Show credential ]

  3. AI Image Recognition - SSD Quality Detection System
    The project aims to enhance product inspection and reduce reinspection personnel by training an object detection model with labeled SSD images from Kingston's production line, optimizing it through a web interface, and integrating it into Azure Bot Service for real-time interaction.
  4. Identify Personality From Dynamic Facial Expressions 
    The study explores dynamic expressions link to personality traits, employing the IPIP-NEO and recorded Q&A sessions for data, then employing K-means and Markov Model for analysis.More accurately predicts personality traits than ordinary friends. [ GitHub ]
    Award: First place in university project research competition.

Patents


Gold Medal - Tokyo Innovation Genius International Invention 
This product offers a composite cutting board designed to efficiently drain liquid, preventing surface accumulation, while also providing storage and knife positioning.

Taiwan Patent Certificate No. M526355See patent ]

Self-learning Certificates


  • Machine Learning Operations (MLOps): Getting Started  - Coursera
  • Machine Learning Specialization  - Deeplearning.AI  (In progress)
Resume
Profile


宋浩茹 Hao-Ru Sung

   0912208677 |     [email protected] |   LinkedIn  GitHub

As a Research Assistant at Academia Sinica, specializing in Generative AI research and application.

With 3+ years of experience in NLP and 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, NLTKGCP, Linux, SQL / NoSQ, Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line BotAzure Bot Service, Tableau

ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT

Research and Work Experience


Research Assistant                                                                                                      Oct 2023 - Present

Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab) 

  • National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs (e.g., LLaMA2, Zephyr.) in 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. [ GitHub ]

Graduate Research Assistant                                                                           Oct 2021 - Oct 2023

Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab) 

TA - Natural Language Processing with Deep Learning Course             Feb 2023 - Jul 2023

National Chengchi University , Dept. of Computer Science

  • Student Count in Class: Served as a Teaching Assistant for NLP,  catering to 90 students.
  • Provided individualized guidance to students, aiding them in completing coursework and research projects, and offering assessments and feedback to ensure effective learning outcomes.

Software Engineer (Founding member)                                                        Sep 2019 - June 2020

DATODING (Start-Up) 《 Microsoft Startup Program - Initial Selection Passed 》

  • Chatbot Development & Full-Stack Development : Executed real-time messaging and multimedia functions using SignalR and WebSocket. Used MongoDB and Redis for message and stream file storage.
  • CI/CD: Executed CI/CD processes using Jenkins.
  • Testing : Unit test, Integration testing, and Selenium test.

Software Engineering Intern                                                                                  Jul 2018 - Sep 2018

Kingston Technology

  • AI - SSD Quality Detection System: Trained image recognition models for AOI equipment and manual defect detectionand developed a system for continuous optimization and automation of the models.
  • Chatbot Development: Integrated the detection model into a chatbot to enable remote operation and monitoring, enhancing the flexibility and convenience of the service.
  • Technical Training: Instructed team on Power BI for data analysis and visualization.

Education


National Chengchi University (NCCU)                                                                    Sep 2021 - Sep 2023

Departmant of Computer Science, Master's Degree                                          

  • GPA: 4.04 / 4.30
  • Advised by Tsai-Yen Li and Hen-Hsen Huang.
  • Essay: Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models.
  • HonorReceived the Academia Sinica Graduate Scholarship.

Publication


Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models

  Hao-Ru Sung , Ying-Jhe Tang , Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang

  In Proceedings of the 32th ACM International Conference on Information and Knowledge    

  Management (CIKM'23).  October 2023 , Birmingham, UK . (Oral Presentation)

  [ Paper  | Github | Video | Poster | Slides ]

Projects


  1. Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
    Focused on updating knowledge summaries of real-time news events to enhance article accuracy. Achieved an 18.8% performance improvement over traditional methods and surpassed SOTA LLMs , e.g., ChatGPT, Llama, and Vicuna. [ GitHub ]

    AwardPublished at the International Conference ACM CIKM 2023.

  2. 2021 AI CUP Competition on Traditional Chinese Scene Text Recognition - Advanced Contest : 
    Text Spotting and Recognition in Complex Streetscapes.
    Developed a Two-Stage Model that, through innovative OCR techniques and data augmentation, achieved a 3.74% increase in accuracy. [ GitHub ]
    Award: Received Top 25% Award. [ Show credential ]

  3. AI Image Recognition - SSD Quality Detection System
    The project aims to enhance product inspection and reduce reinspection personnel by training an object detection model with labeled SSD images from Kingston's production line, optimizing it through a web interface, and integrating it into Azure Bot Service for real-time interaction.
  4. Identify Personality From Dynamic Facial Expressions 
    The study explores dynamic expressions link to personality traits, employing the IPIP-NEO and recorded Q&A sessions for data, then employing K-means and Markov Model for analysis.More accurately predicts personality traits than ordinary friends. [ GitHub ]
    Award: First place in university project research competition.

Patents


Gold Medal - Tokyo Innovation Genius International Invention 
This product offers a composite cutting board designed to efficiently drain liquid, preventing surface accumulation, while also providing storage and knife positioning.

Taiwan Patent Certificate No. M526355See patent ]

Self-learning Certificates


  • Machine Learning Operations (MLOps): Getting Started  - Coursera
  • Machine Learning Specialization  - Deeplearning.AI  (In progress)