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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Past
Validation architect & TPM @HP Inc.2020 ~ 2023
・
測試驗證工程師/PM
Within one month
奇心。此外，我熱衷於分析各種事物，運用我的觀察力和邏輯思維找出問題的本質並尋求解決方案。[email protected] 工作經歷 Validation architect & TPM HP Inc. • 三月五月 2023 測試計畫： ．根據產品規格撰寫測試計畫 ． 問題追蹤及 維護測試計畫 ．舉辦教育訓練 協助推動自動化
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
健行科技大學
・
資訊工程系
Senior Front End Developer @Gemini Data Inc.2021 ~ Present
・
Architect, Principal Software Engineer
Within one month
international teams and UI/UX design team, enhancing communication and project outcomes. Senior Front-end Software Engineer, SUIQUI, 2017 ~ 2021 https://www.suiqui.com Technologies: Ionic, React/Angular (TypeScript) , RxJS, Python + Django + GAE. Key Responsibilities and Accomplishments: Led front-end architectural planning and UI/UX design from inception to deployment for multiple SaaS products. Developed mobile-first, responsive design applications, handling 10,000+ data items and supporting large-scale file uploads. Advanced cross-platform compatibility using PWA technology, aligning with the latest web standards. Combined
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Tunghai University
・
Computer Science
Manager @GOMAJI 夠麻吉2017 ~ Present
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
・
Management Information Systems, General
經理 @凱基商業銀行股份有限公司2019 ~ Present
・
Manager
Within one month
Gary 你好 ， 從事軟體工作十年 ， 在職業生涯的過程中，我感謝那些給予我機會的同事和主管們，他們的信任使我能夠不斷成長。我始終保持著初衷，堅持著軟體開發這個行業。 我以積極負責的態度對待工作，並始終追求做到最好。我相信每一個任務都
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
Aletheia University
・
Computer Information
Past
後端工程師 & DevOps @創業家兄弟Kuobrothers Corp.2022 ~ 2024
・
Senior Backend Engineer | DevOps | SRE
Within one month
置與維運 AWS 雲端服務跟使用 Cloudflare CDN 工具。 以下是我精通與熟悉的技能： 使用 PHP 搭配 CodeIgniter 或 Laravel 開發後端應用程式 導入與使用 Clean Architecture 降低大型服務開發成本 以 Queue Worker 來取代例行性排程並解決任務重試問題 使用 Drone CI 建立自動化 CI/CD 流程 使用 AWS 建置
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taipei University of Technology
・
資工系
Staff Software Engineer @全得資通有限公司2019 ~ Present
・
Staff software engineer
Within one month
Gary Lin Flutter Expert | Tech Expert in delivering high-quality solutions. I am an engineer, architect, designer, mentor, technician, evangelist, and troublemaker. I love exploring and experimenting with new things, not just technology but anything. With over 10 years of software development experience, I excel not just in mobile app and server-side engineering, but also in creating design systems, managing cloud services, and making CICD workflows, systems design, microservice, and a lot more. Solving problems is my daily routine, and um… sometimes making troubles a little… maybe a lot? It can be a simple code
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
The University of Auckland
・
Computer Science
Senior Front-End Engineer @TonFura2023 ~ Present
・
Front-End engineer / Full-stack engineer
Within one month
feedback to project management and UI design teams for continuous improvement of user experience. Orchestrated the migration of web applications to a monorepo architecture to adapt to a microservices approach, ensuring scalability and modularity. Role: Lead developer Stacks: Turborepo, Next.js, React, TypeScript, Tailwind CSS, CSS Modules, Material UI, Highcharts, Jest and GraphQL Single-handedly led the development of the Tonfura SDK package, recognized as the pinnacle of TypeScript SDKs for seamless interaction with the TON blockchain. This endeavor involved architecting and building a comprehensive and robust toolkit, empowering developers with unparalleled capab...
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science and Information Engineering
Consultant @Global Advanced IT Connections2024 ~ 2024
・
Product Owner, Business Analyst, System Analyst
Within one month
. • Facilitated Backlog Grooming/Refinement Sessions, ensuring: - 100% team alignment on prioritized requirements and timeframes. - Clarity on User Stories documented in Jira and Rally - Collaborative discussion and agreement on Acceptance Criteria with Development and Product Teams. • Involved in Design reviews and worked side-by-side with Solution Architect and Tech Leads to outline technical specifications on Confluence. • Owned the Release Management and streamlined Product Releases by: - Outlining deployment tasks for each iteration for efficient execution - Coordinating cross-functionally with Product and DevOps Teams - Crafting Hand-over documents - Creating internal Release Notes and Announcements - Maintaining accurate Product
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Adamson University
・
Information TechnologySenior software test engineer @資拓宏宇國際股份有限公司(International Integrated Systems, Inc.)2022 ~ Present
・
Software Test Engineer, Software QA Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Chung Hua University (CHU)
・
Transportation and Logistics ManagementPast
Frontend Engineering Manager, Data Science @Vpon Big Data Group2022 ~ 2023
・
Frontend Engineer, Full Stack Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
YZU University (元智大學)
・
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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
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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)