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4-6 years
6-10 years
10-15 years
More than 15 years
Taiwan
Past
後端工程師 @Beyond Cars2023 ~ 2023
・
後端工程師
Within one month
心比心】。 後端 & DevOps工程師 城市，TW MBTI人格測試結果 Skill Programming Language back-end Node.js(Typescript) (Expert) Python (Familiar) Go (Familiar) front-end React.js (Familiar) HTML(Familiar) CSS (Beginner) Database MySQL (Familiar) PostgreSQL (Familiar) Redis (Beginner) MongoDB (Beginner) Others DevOps 1. Cloud AWS CloudFront Route53 RDS SES EC2 S3 ECR ECS Fargate Codepipeline Amplify WAF(Web ACLs) CloudWatch CloudTrail Trusted Advisor SDK Azure LB Terraform 2. Server Nginx Docker Tools Git /SourceTree(GUI) Git Flow Agile (Scrum) Github/GitLab/Bitbucket/
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
工商心理學
senior software engineer/ tenical pm @CYTENA BPS2021 ~ Present
・
後端工程師
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立台灣大學 (National Taiwan University, NTU)
・
Electronic engineering
資深主任工程師 @長青資訊2017 ~ Present
・
資深工程師
Within one month
and performance. Database Management: Relational Databases : Skilled in managing MySQL databases, with a focus on optimizing database designs through efficient schema creation. Experienced in enhancing query performance using indexing strategies and ensuring data integrity via comprehensive transaction management mechanisms. NoSQL Databases : Extensive experience with NoSQL databases, especially MongoDB, leveraging its flexible schema for rapid development and scaling. Knowledgeable in utilizing document-oriented storage principles for dynamic content management. Data Modeling & Migration : Expertise in ORM tools like GORM for Go, ensuring seamless data integration and migration strategies. Competent in designing data models that effectively reflect
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
勤益科技大學
・
軟體工程
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
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd 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
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Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
Asia-Pacific International University
・
Computer and Information Systems Security/Information Assurance
Technical Product Manager / Proxy Product Owner (Hybrid) @Optum2022 ~ Present
・
Software Engineer / Backend Engineer
Within one month
張育銘 Chang, Yu-Ming Technical Product Manager / Proxy Product Owner with 5-year development and business analysis experience Work Experience Technical Product Manager / Proxy Product Owner (Remote) • Innova Solutions / Optum DecemberPresent This role requires communication with Product Owner, Product Manager, Designer, Developers, and Customer Service in the US. Data is exchanged among multiple applications in the format of XSD/XML. Our product was launched to market ahead of schedule by the end of December,I did the following to facilitate product development internationally Communicated product roadmap with development team and stakeholders Collaborated
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
ALPHA Camp
・
Web Backend Route高級軟體工程師 @Ganzin technology2023 ~ Present
・
Unity Developer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taipei University of Technology
・
資訊工程學系
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
Harvey Jhuang Backend Engineer • Taipei，TW • Harvey Jhuang is a backend engineer who believes in "Data-driven" and has a k een observation for finding valuable insights. Moreover, he is a highly proactive and fast learner who always makes good use of his free 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
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
Past
Frontend Engineer @IT Project Co., Ltd.2020 ~ 2024
・
Software Programmer
Within one month
胡庭愷 畢業於中正大學資訊工程學系。 前端熟悉 npm、React，後端熟悉 Java、Spring，資料庫如 PostgreSQL、MongoDB、Redis 亦有涉獵，其他也有使用如 Git、Docker 輔助開發。 目前開發經驗約五年，喜愛寫程式，對於開發技術充滿熱忱。 軟體工程師 電子郵件： [email protected] 經歷 前端工程師， 艾帝浦
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chung Cheng University
・
Computer Science and Information Engineering
Past
server engineer @曉數碼
backend engineer
Within one month
余皓永(Aron Yu ) 擁有六年Ruby on Rails, 半年 Golang 及 Solidity(web3)開發經驗。注重可靠的單元測試，參與過多個網站開發，包括從零開始建立的專案。維護過超過1,000,000 RPM的流量的遊戲server。 具備DevOps技能和CI/CD流程經驗，涵蓋AWS、Docker、Jenkins、Ansible、GitHub Actions和Terraform等工具。以卓越的團隊合
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
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Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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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)