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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
Full-time / Interested in working remotely
6-10 years
台北市立大學
・
資訊科學
專案管理/副分析師 @財團法人資訊工業策進會服務創新研究所2018 ~ Present
・
Within two months
analytics, Facebook), fashion column editing, cross-brand cooperation, customer growth and social media management, and KOL relationship maintenance. Attending to Korean cram school in Korea, May 2014 ~ Jun 2014 As my second gap year program, spending time to stay in Seoul, and also take Korean courses to improve multi-language skills. Working Holiday life in Australia, Apr 2012 ~ Apr 2014 As my first gap year program, spending time to explore and experience overseas life. EYECREAM, Marketing, Jul 2011 ~ Mar 2012 Responsible for marketing strategy planning, product theme planning and shooting execution, social media and membership management.
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
影像傳播學系
Past
Business Development Specialist for Taiwan & Australia markets @Campanyon ( 歐洲新創公司 )2022 ~ Present
・
Within one month
on all aspects of their risk/return profile and cash flow needs. Helped clients manage their properties. Sales Specialist May 2015 ~ Dec 2016 HONG GUAN ENTERPRISE, LTD. Taipei, Taiwan Hong Guan Enterprise, Ltd. is a distributor of RICOH photocopiers in Taiwan. Sold products and developed sales channels. Managed customer relationships. Skills Languages: English (fluent), Mandarin (native), and Taiwanese (native). Technical Skills: Proficient in Word, Excel, PowerPoint, Outlook, G Suite, Google Workspace, Slack, Monday.com, and HubSpot Sales Hub. Interpersonal Skills: Leadership, Teamwork, Communication, Collaboration, Problem Solving, and Creativity.
Unemployed
Full-time / Interested in working remotely
4-6 years
美國東北大學 Northeastern University (U.S.A.)
・
碩士 專案管理Past
Sr.engineer Android Developer @17 LIVE_藝啟股份有限公司臺灣分公司2022 ~ 2024
・
Android APP 開發
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
逢甲大學
・
材料科學與工程學系Past
Senior Front-End Software Engineer @KKSTREAM 香港商科科串流股份有限公司2020 ~ 2022
・
前端工程師 Front-End Developer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
・
Computer Science
資深軟體工程師 @畢竟科技股份有限公司2022 ~ Present
・
Software Manager / Senior Backend Engineer
Within one month
time to enhance his ability through online courses or books. Most importantly, he is always up for the challenge , so he is willing to take difficult tasks! CORE COMPETENCIES Hard Skills Languages: Golang, Python, Shell RDBMS : MySQL, PostgreSQL NoSQL : Redis, MongoDB MQ: Kafka, Nats Others: Docker, Git, Nginx Soft Skills Good team management & player Strong problem-solving ability Self-learner Highly stress resistant Great presentation Project Management Languages Chinese (native) English (TOEIC 835) EXPERIENCE Senior Backend Engineer at 畢竟科技股份有限公司，2022 //12 Skills: Golang, PostgreSQL, Redis, Nats, MongoDB, Docker
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立暨南大學
・
財務金融學系
ERP資訊工程師-ERP Software Engineer @南茂科技股份有限公司 ChipMOS TECHNOLOGIES2022 ~ Present
・
Engineer, SA, SD, Data Analyst, PM
Within one month
YU-HSIANG, HSU (Shawn) 中文履歷 B2B/CRM | ERP | CIM | Programming | Data Analysis | Project Management 7~8 years of experience in software development and project management for the semiconductor and electronic components industries. Integrate B2B transaction data (ERP and MES) into the ERP system of the global supply chain. Data analytics and visualization, software development, distributed architecture design. SQL performance tuning, heterogeneous distributed database to integrate data from different databases. Using deep learning to detect objects Tainan, Taiwan Skills Languages: Mandarin (native), English (Intermediate) Programming: C#, Java, SQL, Python, PL/SQL
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Industrial and Information Management
副理 @不透漏2023 ~ Present
・
程式設計師
Within one month
我與我告知，感謝^^ 若有進一步興趣可往下看，不會讓客官失望... 新版個人網站與blog 舊版 blog 現職：專案襄理 基隆市，TW Email Skills Language ASP.NET MVC 5 WEB API ASP.NET CORE 2 & CORE 3 Jquery javascript C#/VB.NET Python Database SQL SERVER (T-SQL) ORACLE(PL-SQL) MonogoDB Other UML SAP Buessiness One ERP ERP初級規劃認證 TDD/UnitTest
Full-time
10-15 years
崇右技術學院
・
資訊管理系
sales, helper @PT SENSO.LIQUID DAN GARUDA VAPE 2018 ~ 2020
・
More than one year
saya juga mempunyai beberapa skill mendukung dengan lulusan yang saya punya. Pengalaman Kerja OktoberFebruari 2020 sales, helper PT SENSO.LIQUID DAN GARUDA VAPE saya seorang sales liquid yang melakukan kanvasing secara door to door ke setiap toko vape store dengan target penjualan liquid 1000 pcs dalam sebulan. dan saya juga pernah bekerja menjadi helper gudang pada sebuah perusahaan distributor vape. melakukan kunjungan praktek kerja lapangan melakukan kegiatan service melakukan pembersihan service Pendidikansmk yadika 11 jatirangga tehnik komputer jaringan Skil TroubleShooting Social Media Advertising Microsoft Office Power Point Photoshop Word Negotiation Skills Languages Indonesian — Fluent English — Beginner
Full-time / Interested in working remotely
4-6 years
smk yadika 11 jatirangga
・
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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.
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)