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Resume Examples
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Occupation Guide
Access resume writing guides tailored for different professions.
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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
Within one month
Chun Shan, Wang [email protected] A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments. Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing. EXPERIENCE Data Engineer,, TSMC Modernized Data Processing Infrastructure: Successfully refactored the data
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
網路學習科技研究所
Offline
Offline
Past
資深軟體研發工程師 @緯創資通股份有限公司2019 ~ 2023
・
軟體工程師
Within one month
speed by 20%. - Designed a high-performance data warehouse on AWS, improving cross-team data accessibility and reducing query times by 35%. EDUCATION National Taipei University of Technology • Master’s Degree in Electronic Engineering MaySep 2019 | Taipei, Taiwan • Specialized in developing deep learning models for Natural Language Processing (NLP). • Developed classification systems for speech/audio using deep learning techniques. • Conducted research on image classification and recognition through deep learning methodologies. CERTIFICATIONS • Google IT Automation with Python, Coursera - FebPATENT • ABNORMAL SOUND DETECTION METHOD AND APPARATUS (USA1) - FebSKILLS Programming & Frameworks : Python, TensorFlow, Keras, PyTorch, scikit-learn
Unemployed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
台北科技大學
・
機器學習, 訊號處理
Past
Backend Software Engineer @格拉墨科技有限公司2022 ~ 2024
・
Software Engineer
Within one month
BO-GUAN JHOU Phone :| Email : [email protected] | LinkedIn : boguanjhou | GitHub: NeoJay0705 EDUCATION National Taiwan Normal University M.S. in Computer Science & Information Engineering SeptJuneNational Chin Yi University of Technology B.S. in Electronic Engineering SeptJuneSKILLS Programming : Java, Go, Python, C++ Web Development : Spring Framework, PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch, RabbitMQ, Kafka, XXL Job, Microservices, Non-blocking IO (Netty), gRPC, Dubbo RPC, ELK Stack, Vue.js DevOps: Docker, Kubernetes, GCP, GitHub, GitLab, Shell Scripting Others: Git, Design Patterns, Clean Architecture, Machine Learning, Tensorflow, NLP WORK EXPERIENCE Gram Backend Software Engineer OctOct
Unemployed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
國立臺灣師範大學 National Taiwan Normal University
・
Computer Science & Information Engineering
Past
Senior Specialist @CNA Insurance Company2022 ~ Present
・
Software Engineer / Backend Engineer
Within one month
Thomas Richardson New York, United [email protected] https://www.linkedin.com/in/thomas-r-a3b944296/ As a Senior Full Stack Developer, I specialize in crafting innovative solutions that span web, mobile, and blockchain platforms, leveraging a comprehensive blend of front-end, back-end, AI, NLP, and decentralized technologies. With expertise in modern front-end frameworks such as React, Angular, and Vue.js, I create dynamic and responsive user interfaces that enhance user engagement and accessibility. My proficiency extends to mobile application development using React Native, ensuring consistent
Unemployed
・
Ready to interview
United States・Vietnam・Taiwan・Hong Kong・Japan・Thailand・China・Mexico・Russia
Full-time / Remote Only
10-15 years
University of Arkansas
・
Computer Science
Frontend Engineer (Senior Software Engineer) @Cake2022 ~ Present
・
Frontend Engineer
Within one month
and improving development efficiency. Optimized website performance with server-side rendering, caching, and resolving critical issues like Algolia-related server-side crash. Mentored team members on React best practices, fostering a collaborative and skilled team environment. Research Assistant, Academia Sinica 11//2020 Conducted research in NLP and machine learning, focusing on models like BERT and multi-task learning. Authored a publication: "Detecting Deceptive Language in Crime Interrogation," presented via a recorded session at an NLP conference. Developed a Memory Networks-based application for detecting deceptive language in collaboration with an international research team
Employed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer Science and Information Engineering
Deputy Product Director @Synergies Intelligent Systems, Inc.2023 ~ 2024
・
Technical Product Manager
Within one month
Employed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
National Taiwan University of Arts （國立臺灣藝術大學）
・
多媒體動畫Unemployed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
台北市職能發展學院
・
商業企劃與虛擬實境應用
Past
學生 @緯育商務AI應用開發工程師養成班2024 ~ 2024
・
AI Engineer
Within one month
js) 實作項目：動物分類、房價預測、鐵達尼號生存預測、汽車價格預測、年薪分類預測、保險支出預測、企鵝分群、即時匯率視覺化 自然語言處理 Azure (Language Service、Speech Service、Translation Service)、Line Bot、Language Model - 對話式語意分析 實作項目：文字情緒辨識機器人、雙向翻譯機器人、多國語言翻譯
Unemployed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
More than 15 years
龍華科技大學
・
自動化控制Employed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
中原大學
・
資訊管理學系
第三期畢業生 @台灣人工智慧學校2018 ~ 2019
・
AI人工智慧相關職缺
Within one month
Tsungwei, Liu AI RESEARCHER/AI DEVELOPER Email: [email protected] | Phone:Taipei City, Taiwan Professional Summary AI Team Lead and Researcher with 6+ years experience in developing AI solutions and products. Expertise in LLMs, NLP, and machine learning. Proven ability to lead cross-cultural teams and drive innovation in AI applications across industries. Skill Sets - AI/ML: LLM fine-tuning, RAG, PyTorch, Scikit-learn, Hugging Face, Gensim, LoRA, PEFT, LangChain, llama.cpp, BERT, Transformer models - NLP: Spacy, Word2Vec, Named Entity Recognition, Sentiment Analysis, Prompt Engineering - Data Processing & Databases: Elasticsearch, Neo4j, SQL
Employed
・
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
私立真理大學(台灣)
・
資訊管理The Most Lightweight and Effective Recruiting Plan
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Professional Background
Current status
Unemployed
Job Search Progress
Ready to interview
Professions
Software Engineer
Fields of Employment
Artificial Intelligence / Machine Learning
Work experience
4-6 years
Management
None
Skills
Languages
English
・
Fluent
Job search preferences
Positions
軟體工程師
Job types
Full-time
Locations
新北市, 台灣, 台北市, 台灣, 新竹市, 台灣
Remote
Interested in working remotely
Freelance
Educations
School
台北科技大學
Major
機器學習, 訊號處理
TAIRONG CHEN
Senior Deep Learning Engineer | 0920648949 | [email protected] | Taiwan, Taipei
Data Scientist with over 5 years of experience in developing and deploying advanced Deep Learning solutions for data analysis and automation. Proven track record in achieving patents and delivering impactful improvements in sound detection accuracy, enhancing operational efficiency by 30% through automation initiatives. Strong technical expertise in data engineering, cloud computing, and deep learning model interpretability.
EXPERIENCE
Algorithm R&D Engineer • Wistron Corporation
Dec 2019 - Jul 2023 | Taipei, Taiwan
- Deep Learning Development:
- Developed acoustic systems using advanced Deep Learning models, achieving a 25% increase in
sound detection accuracy.
- Led interpretability studies and visualized embeddings to enhance team understanding of model
behavior, reducing debugging time by 40%.
- Spearheaded and filed a patent: Abnormal Sound Detection Method and Apparatus
(US20230030911A1), Feb 2023. - Data Science Contributions:
- Visualized and preprocessed large-scale audio datasets for model development, resulting in a 15%
reduction in data preparation time.
- Automated reporting for marketing analysis using MySQL, Trinity, and Power BI, improving
insights delivery speed by 20%.
- Designed a high-performance data warehouse on AWS, improving cross-team data accessibility
and reducing query times by 35%.
EDUCATION
National Taipei University of Technology • Master’s Degree in Electronic Engineering
May 2017 - Sep 2019 | Taipei, Taiwan
• Specialized in developing deep learning models for Natural Language Processing (NLP).
• Developed classification systems for speech/audio using deep learning techniques.
• Conducted research on image classification and recognition through deep learning methodologies.
CERTIFICATIONS
• Google IT Automation with Python, Coursera - Feb 2023.
PATENT
• ABNORMAL SOUND DETECTION METHOD AND APPARATUS (US20230030911A1) - Feb 2023.
SKILLS
- Programming & Frameworks: Python, TensorFlow, Keras, PyTorch, scikit-learn, NumPy, Pandas
- Cloud & Tools: AWS (S3, Lambda, EC2), GCP, Docker, Git, MySQL, Power BI
TAIRONG CHEN
Senior Deep Learning Engineer | 0920648949 | [email protected] | Taiwan, Taipei
Data Scientist with over 5 years of experience in developing and deploying advanced Deep Learning solutions for data analysis and automation. Proven track record in achieving patents and delivering impactful improvements in sound detection accuracy, enhancing operational efficiency by 30% through automation initiatives. Strong technical expertise in data engineering, cloud computing, and deep learning model interpretability.
EXPERIENCE
Algorithm R&D Engineer • Wistron Corporation
Dec 2019 - Jul 2023 | Taipei, Taiwan
- Deep Learning Development:
- Developed acoustic systems using advanced Deep Learning models, achieving a 25% increase in
sound detection accuracy.
- Led interpretability studies and visualized embeddings to enhance team understanding of model
behavior, reducing debugging time by 40%.
- Spearheaded and filed a patent: Abnormal Sound Detection Method and Apparatus
(US20230030911A1), Feb 2023. - Data Science Contributions:
- Visualized and preprocessed large-scale audio datasets for model development, resulting in a 15%
reduction in data preparation time.
- Automated reporting for marketing analysis using MySQL, Trinity, and Power BI, improving
insights delivery speed by 20%.
- Designed a high-performance data warehouse on AWS, improving cross-team data accessibility
and reducing query times by 35%.
EDUCATION
National Taipei University of Technology • Master’s Degree in Electronic Engineering
May 2017 - Sep 2019 | Taipei, Taiwan
• Specialized in developing deep learning models for Natural Language Processing (NLP).
• Developed classification systems for speech/audio using deep learning techniques.
• Conducted research on image classification and recognition through deep learning methodologies.
CERTIFICATIONS
• Google IT Automation with Python, Coursera - Feb 2023.
PATENT
• ABNORMAL SOUND DETECTION METHOD AND APPARATUS (US20230030911A1) - Feb 2023.
SKILLS
- Programming & Frameworks: Python, TensorFlow, Keras, PyTorch, scikit-learn, NumPy, Pandas
- Cloud & Tools: AWS (S3, Lambda, EC2), GCP, Docker, Git, MySQL, Power BI