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4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Sr. Full Stack Engineer @類神經網路股份有限公司2021 ~ Present
・
資深程式設計師
Within one month
a mentor for new employees. 6. Joined code review meetings regularly. Test Engineer • 願境網訊股份有限公司_KKBOX JunJanPerformed functionality testing for applications on each platform. 2. Reported bugs to RD with Trac. Education B.E., Computer Science and Information Engineering, Fu Jen Catholic University SepJun 2018 Certificates TOPIK II (Level 4) President of National Institute for International Education十一月 2018 到期 JLPT N1 the Interchange Association, the Japan Foundation and Japan Educational Exchanges and Services N1A008080T 發照日期 一月
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information Engineering
Senior Front End Developer @Gemini Data Inc.2021 ~ Present
・
Architect, Principal Software Engineer
Within one month
lancetw aka Hsin-lin Cheng Experienced Senior Software Engineer < [email protected] > Education: Computer Science, Tunghai University, Taiwan (Bachelor's Degree) Professional Summary Experienced and results-oriented Senior Front End Developer with a proven track record in leading front-end development and design. Proficient in a variety of technologies, including PixiJS, D3.js, React, TypeScript, and more. Passionate about creating efficient, user-friendly web applications and driving project success through innovative problem-solving and team collaboration. Professional Experience Fully Remote, Senior Front End Developer, GEMINI DATA, 2021 ~ 2024 https://www.geminidata
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Tunghai University
・
Computer Science
Offline
Offline
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
Within one month
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 C ourse FebJul 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 assessme...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
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 ScienceSenior engineer @Chicony Electronics Co, Ltd.2018 ~ Present
・
全端工程師、後端工程師、前端工程師、軟體專案主管、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
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineeringPast
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學
・
資訊工程學系
Senior Front-End Engineer @TonFura2023 ~ Present
・
Front-End engineer / Full-stack engineer
Within one month
吳酈哲 Leo Wu Software Engineer [email protected] Taipei, Taiwan Summary Experienced Front-End developer with over five years of expertise in the React ecosystem Successfully led Front-End teams for more than three years Proficient in JavaScript, HTML, and CSS, with a focus on programmatic ads for over four years Skilled in ensuring Cross-Browser Compatibility and delivering high-quality user experiences Proven ability to collaborate effectively with non-technical partners to achieve project objectives Skills Programming languages: JavaScript, TypeScript Front-End Frameworks and Libraries: React, Next.js, Ant Design, Material UI, Jest DevOps
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science and Information Engineering
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
Past
Senior Software Engineer @ThunderCore 閃電核心科技2023 ~ 2023
・
Software Engineer
Within one month
Chien-Che Hung Taipei City, Taiwan || [email protected] Full Stack Developer | Blockchain Developer Work Experience Senior Software Engineer • ThunderCore MarchSep 2023 | Taipei, Taiwan TTWallet Backend Service Designed and implemented a service facilitating cross-chain bridging for web3 wallets, ensuring seamless integration with Multichain. Primary languages and tools used included Node.js, Nest.js, and ethers.js. Designed and implemented a real-time, cross-language, and cross-timezone push notification system. Additionally, developed an internal API empowering the operations team to send custom push notification requirements. TTFarm | GameFi project on the
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學
・
Computer Science
Past
Staff Customer Applications Engineer @MaxLinear2022 ~ 2023
・
Staff Engineer
Within one month
楊國呈(Adler Yang) Staff Router & Gateway System Software Application Engineer As an experienced Customer Application Engineer and Platform Software Engineer, I am familiar with router system bring-up, network technologies, and the application of open-source software. My experience includes familiarity with system software development, understanding of gateway and router technologies. In my role within the CAE department, I possess professional and technical communication skills, developed through extensive interactions with internal and external customers around the world. Objective Job Title: Software engineer / CAE / Firmware engineer Taipei City, [email protected] https
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chi Nan University
・
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Professional Background
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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)