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4-6 years
6-10 years
10-15 years
More than 15 years
Consultant @Lumina Tech Ltd2020 ~ Present
・
SAP ERP application consultant, ERP cloud business workflow analysis
Within one month
David Lee Life is a horse, and either you ride it or it rides you. Business Consultant, SD/FI/GUI Module, SAP ABAP Developer , Business Tax AWS Cloud ERP New Taipei City, Taiwan [email protected] Skills SAS, R , SPSS Statistical software tool SAP FI / SD Module , ABAP language AWS Cloud ERP Analysis Data analysis with SPSS, Tableau Project Management Business Flow Analysis e-Commerce API Integration Experience ERP Application Consultant , JanIn a Cloud ERP Consulting firm as an Application Consultant. Execute more than 8 projects including implementation and maintenance projects. Familiar
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
淡江大學
・
管理科學系
技術專理 @鴻海2018 ~ Present
・
軟體工程師、系統架構師、PM、技術主管、AI工程師
Within one month
R 語言。 專案： CHR ｢人格測評信效度驗證｣ 數據分析 空壓機數據分析 電鍍製程數據分析 鋼捲數據分析競賽 交通影像辨識模型建模 Conduct field assessment, issue identification, data filtering, data engineering, modeling, prediction, result visualization, and analysis on data provided by the field. Also, construct code for data automation processing project requirements, primarily utilizing Python, with some usage of the R language. CHR "Personality Assessme...
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立雲林科技大學
・
資訊管理
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
Windows Forms 程式設計開發、單元測試專案 Halcon 影像處理 影像定位 瑕疵判斷 物件量測 Skills Database MySQL Oracle ArangoDB LLM Tool:langchain Vector DB:Milvus API:AzureOpenai API、FastAPI MessageBus RabbitMQ TibcoRV Skills R language 數據分析 文字探勘 統計分析 Embedded System Raspberry pi Arduino NVIDIA Jetson AGX Xavier IDE Git: 版本管理、維護 Visual studio:.NET Windows Forms 開發 Pychram:python 專案開發 RStudio: R 語言開
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
Past
Senior QA engineer @DeepHow2023 ~ Present
・
QA automation engineer / Software development engineer in test
Within one month
黃凱弘 Kyle Huang 7 年經驗的軟體手動 & 自動化 QA，喜歡用 Python 撰寫各種小工具解決生活中許多 routine 的工作 QA automation engineer / Software development engineer in test Taipei/ Hsinchu, TW [email protected] Manual Test planning Establish test cases Writing test reports New function testing, regression testing, user acceptance testing (UAT) Bug tracking Test case management: TestRail , Testmo Issue management: Jira, FogBugz Automation Programing language: Python Framework: Appium, Selenium, Unittest, Pytest, Allure DB: PostgreSQL, NoSQL
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
Sr. Product Designer @portto 門戶科技 | Blocto2022 ~ Present
・
Product Designer (UI/UX)
Within one month
systems and cooperate with co-work to maintain design file at Portto as product designer, advanced communication efficiency with engineers. Implemented analyzed and assembled competitors's product, attended proposal and discussion with the team, assessed product feasibility, ensured it is effective to optimize user experience. Taipei City, Taiwan ( R.O.C.)｜｜ [email protected]｜ Linkedin Education SHU-TE UNIIVERSITY Visual communication design SepJunCHUNG-HWA School of ARTS Department of Fine Arts - Design category SepJunSkills Design tools Figma Sketch Illustrator Photoshop InDesign Assist HTML / CSS WordPress Language Chinese - Native language English - Elementary Work
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Shu-Te University
・
Visual communication design
Past
Chief Technology Officer @Alienkingdom2020 ~ Present
・
後端，全端，技術經理
Within one month
. - Project feasibility and risk assessment. - Project schedule adjustment and manpower allocation. Hsinchu County, Taiwan 工作經歷 Chief Technology Officer • Alienkingdom 七月Present Leading development of Alienkingdom products, including : 1. Capoo Pals : - A windows application that can raise many pets on your desktop. R&R: - The entire product's architecture and specifications are established, including the client-side, backend server, and sales webpage. - Responsible for the implementation of the key components on the client-side, leading the development team for the server, and collaborating with the web development team to achieve the
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Cheng Kung University
・
Computer Graphics
Past
Streetscaper: Taiwan Freelance Cultural Researcher @Kantar Consulting 2019 ~ Present
・
資深視覺設計師 / 網頁設計師 / 設計主管
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
London College of Fashion
・
Fashion Design ManagementEmployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
元智大學
・
企業管理與服務科學
IT Infrastructure @暫時不提供2022 ~ Present
・
IT Infrastructure
Within one month
李禹衡 I have a half year of Site Reliability Engineering (SRE) experience and MIS-Engineering experience for about 2 years, and now work as an IT Infrastructure Enginee r, with responsibilities including Kubernetes maintenance and deployment , CI/CD(ArgoCD, Gitlab) , and tasks related to Infrastructure as Code (Terraform ). In addition, I am also responsible for developing Telegram chatbot project(Python-telegram-bot) . I love communicating with others and giving them some comments and feedbacks and solving problems together. I am willing to learn new things, maintain a good relationship with others, make the company
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
・
Computer Science Information EngineeringArt Consultant for Mr. Jiangcun Xiong / Jiangcun Xiong Art Museum @SHADOWMOON2023 ~ Present
・
PM、活動企劃相關、行銷企劃相關
Within one month
Employed
・
Open to opportunities
Part-time / Interested in working remotely
6-10 years
Tatung University
・
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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.
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Ability to convey information effectively and is willing to give and receive feedback.
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Leadership
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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
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
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, NLTK, GCP, Linux, SQL / NoSQ, Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot, Azure 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)
- Publication: Published in ACM CIKM 2023.
- Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6%, e.g., GPT3.5-Turbo, LLaMA, and Vicuna.
- Fine-tuned LLaMA based models (Alpaca, Vicuna) with LoRA and Adapter.
- Dataset Release: Open-source text update dataset (STKU Dataset).
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 detection, and 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.
- Honor: Received 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)
Projects
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 ]
Award: Published at the International Conference ACM CIKM 2023.2021 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 ]- 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. - 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. M526355. [ See patent ]
Self-learning Certificates
- Machine Learning Operations (MLOps): Getting Started - Coursera
- Machine Learning Specialization - Deeplearning.AI (In progress)
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, NLTK, GCP, Linux, SQL / NoSQ, Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow, Git, Docker, Jenkins, Line Bot, Azure 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)
- Publication: Published in ACM CIKM 2023.
- Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6%, e.g., GPT3.5-Turbo, LLaMA, and Vicuna.
- Fine-tuned LLaMA based models (Alpaca, Vicuna) with LoRA and Adapter.
- Dataset Release: Open-source text update dataset (STKU Dataset).
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 detection, and 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.
- Honor: Received 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)
Projects
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 ]
Award: Published at the International Conference ACM CIKM 2023.2021 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 ]- 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. - 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. M526355. [ See patent ]
Self-learning Certificates
- Machine Learning Operations (MLOps): Getting Started - Coursera
- Machine Learning Specialization - Deeplearning.AI (In progress)