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資訊科學系
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Data Engineer @TSMC 台積電
2022 ~ Present
資料分析師、演算法工程師、軟體工程師、軟體專案管理
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Backend Development
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國立中央大學 National Central University
網路學習科技研究所
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Data Scientist/NLP Engineer @Entercoms
2019 ~ Present
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Pune University
M.E IT
Avatar of 廖昱程.
Avatar of 廖昱程.
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司
2022 ~ Present
Within two months
Migo Yu-Cheng Liao NLP Engineer & Software Engineer | Interested in Sentiment Analysis and Social Computing Taipei,Taiwan [email protected] Work Experiences Naturint., NLP Scientist/Sr. Software Engineer, June/2018 – Present •Introduced and optimized the NLU model for our virtual assistant. •Responsible for content design, NLU model, data analysis, and UX optimization. •Executed NTD 20 million AI solution, which is the first virtual assistant by ChatBot in the aviation industry in Taiwan and it was released in September•Performed analysis and in-depth reviews of virtual assistants to improve product and troubleshooting
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 Lo Tsun Lam, Wilson.
Avatar of Lo Tsun Lam, Wilson.
Lead Software Engineer @Auralabs
2023 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within three months
team leads and engineers to maintain Freehunter System including Frontend, Backend, Cloud Infrastructure, BI Tool. Product Leader of all teams (Tech, Design, BD, SEO) to research, re-design, and re-vamp the Freehunter 2.0 including tech stack, design flow, business model, and SEO strategy. Full Stack & NLP chatbot engineer • Asiabots 一月十二月 2019 Work with CTO to execute the R&D project. Enhance and grade company tech assets. Deploy a working prototype to show the R&D results. Work individually as well as help teammates with Technica. Collaborate with
React.js
TypeScript
AWS
Employed
Full-time / Interested in working remotely
4-6 years
Hong Kong Baptist University
Computer Science
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Avatar of Lewis Chang.
Senior Backend Engineer @Appier 沛星互動科技
2022 ~ Present
軟體工程師
Within one month
QA, etc.) - Coached junior developers for both onboarding and enhancing code quality. - Introduced typing system by Typescript for better maintainability. - Migrated frontend framework from AngularJS to Angular. Software Engineer • AI4quant MaySepUsed NLP model and image processing help E-Commerce client to eliminate duplicate products. - Assessed NLP models for time series data. - Studied the state-of-the-art DL models like Efficient-Net, Transformer-XL. - Built a mobile app to receive data from various wearable devices via blue-tooth connection for monitoring user's health condition by DL models. AI Algorithm Development Engineer
Python
Backend Development
Frontend Development
Employed
Not open to opportunities
Full-time
4-6 years
National Central University
Department of Optics and Photonics
Avatar of 黃竫玟.
Avatar of 黃竫玟.
Past
Project Leader @Akatsuki Taiwan Inc
2018 ~ 2021
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
More than one year
Inc MarOctTaipei, Taiwan Experienced with lead game designer. Design suitable campaign contents for users, make optimizing proposals , debug release version/content. Use Jira to track bug situations, Unity for adjusting game proposals and debugging. Use Github & Sourcetree for modifying game content data. Linguist of Chinese NLP Sinequa JunDecParis, France Linguistic Engineer Improve B2B search engine performance in Traditional Chinese. Enlarge vocabulary database . Chinese Teacher Rencontre et Culture France Asiatique Association (RCFA) SepJun 2014 Paris, France Teach high school students how to write and read Traditional Chinese. Make suitable teaching contents. EducationInstitut
Public Speaking
Leadership
Research
Unemployed
Full-time / Interested in working remotely
4-6 years
Institut national des langues et civilisations orientales
Natural Language Processing
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
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抓取金融新聞,將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體,最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術:NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型,以各式台灣景氣指標當作輸入,輸出未
Machine Learning
Computer Vision
Pytorch/Tensorflow
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4-6 years
國立臺北科技大學
資訊工程
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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 謝明翰.
Avatar of 謝明翰.
Past
後端工程師 @Canner (易開科技)
2023 ~ 2024
Senior Backend Engineer
Within one month
產品數據中台,專注於新功能開發、問題排查,並致力於優化團隊的開發流程。參與公司開源專案 accio 的 DSL parser 開發,負責開發 ChatGPT 自然語言獲取數據的 Plugin。 #Node.js #Typescript #Data Modeling #GraphQL 後端工程師 愛酷智能科技 AccuHit AI technology company 九月三月 2023 Taipei, Taiwan 主導團隊升級 PHP
Node.js / Express.js
Git-flow
Golang
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4-6 years
東海大學 Tunghai University
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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)