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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Past
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
洛桑聯邦理工學院(EPFL)
・
神經科學Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Dans 1 mois
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Chengchi University
・
資訊科學系
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Présent
・
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
Dans 1 mois
潘揚燊 ㄕㄣ Shen Pan Kaohsiung City，Taiwan • [email protected] 希望職務：人工智慧、機器視覺應用開發工程師 現任 : 聯華電子 RPA 平台全端開發工程師 您好，我是潘揚燊，目前任職於 聯華電子 ， 擔任 智慧製造 全端開發工程師 ， 畢業於元智大學工業工程與管理學系研
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
元智大學 Yuan Ze University
・
工業工程與管理學系所
經理 @鴻博資訊有限公司2015 ~ Présent
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Dans 1 mois
technologies such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides
Employé
・
Prêt à l'interview
Temps plein / Uniquement Travail à distance
10 à 15 ans
崑工科技大學
・
電子工程
Data Engineer @TSMC 台積電2022 ~ Présent
・
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Dans 1 mois
Chun Shan, Wang [email protected] SUMMARY I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions. KEYWORDS: Python, NLP/NLU, Backend, Data, CI/CD, kubernetes, JAVA Spring, EXPERIENCE Data Engineer,now, TSMC I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring
Employé
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
國立中央大學 National Central University
・
網路學習科技研究所
Past
Electrical Maintenance @PT. Pabrik Kertas Tjiwi Kimia Tbk.2021 ~ 2023
・
Engineer
Dans 1 mois
in preparation for when there is a tool has problem or automation project Education Politeknik Perkapalan Negeri Surabaya Automation Engineering,GPASkill Preventive Maintenance ( Preparing weekly, monthly summary, and exception reports ) AC / DC Drive Wiring Diagram ( AUTOCAD, EPLAN P8 Electrical ) PLC and HMI Programming SCADA, Power Inverter Project and People Management Electrical Troubleshooting Computerized Maintenance Management Systems (CMMS) Data Analysis and Visualization Machine Learning Certification Data Science and Machine Learning - Purwadhika Digital Technology SchoolPurwadhikaSystem 800xA with AC 800M Hardware Maintenance and Troubleshooting - ABBInstrument Inspector level 2 - Inspector TrainingInstrument Inspector level 1 - Inspector TrainingPLC Intermediate Engineer - PPNSIndustrial Automation System Design - BNSP
Sans Emploi
・
Prêt à l'interview
Temps plein / Je ne suis pas intéressé par le travail à distance
4 à 6 ans
Politeknik Perkapalan Negeri Surabaya
・
Automation Engineering
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技2022 ~ 2023
・
資料科學家、資料科學工程師、機器學習工程師
Dans 1 mois
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
Sans Emploi
・
Prêt à l'interview
Temps plein / Intéressé par le travail à distance
4 à 6 ans
台灣大學
・
大氣科學所Data Scientist @Delta Electronics, Inc. (台達電子工業 股份有限公司)2023 ~ Présent
・
Data Scientist, Data Analyst, Machine Learning Engineer
Dans 1 mois
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立交通大學（National Chiao Tung University, NCTU)
・
Computer/Information Technology Administration
Senior Software Development Engineer @奔騰網路2023 ~ Présent
・
資深後端工程師
Dans 1 mois
model to make the company’s private AI (Vector DB), or connecting to the API of public generative AI through prompt, or It uses golang and k8s api to create extensions, yaml or Terraform for automated deployment. 4. Use tensorflow's forests decision prediction to obtain some information, machine learning frameworks such as tensorflow and pytorch, and also use huggingface's lib to connect multiple models (self-study of basic AI or machine learning and other related knowledge), and also study google self attention model, etc. 5. Experience in using multiple clouds, and using Terrafrom to
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
臺灣國立空中大學
・
資訊管理學系
Data science lecturer @Ittraining2020 ~ Présent
・
Data Scientist 資料科學家_數據分析師
Dans 1 mois
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
Employé
・
Ouvert à de nouvelles opportunités
Temps partiel / Intéressé par le travail à distance
Plus de 15 ans
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)Le Plan de Recrutement le Plus Efficace et Facile
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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
Statut Actuel
Sans Emploi
Progrès de la Recherche d'Emploi
Professions
Data Scientist
Fields of Employment
Expérience Professionnelle
4 à 6 ans expérience professionnelle (2 à 4 ans relevant)
Management
Compétences
Langues
Chinese
・
Natif ou Bilingue
English
・
Intermédiaire
Job search preferences
Position Désirée
Machine Learning Engineer
Type d'emploi
Temps plein
Lieu Désiré
Taipei, 台灣, Tōkyō, 東京都日本, Singapore, China
Travail à distance
Intéressé par le travail à distance
Freelance
Non.
Éducation
École
National Cheng Kung University
Spécialisation
Computer and Communication Engineering
Core Competencies
Hard Skills
- Python / Unix / Shell Script / SQL
- ML / DL / NLP
- Git / Docker
- Anaconda / Poetry
- GCP / AWS
- Retrieval-Augmented Generation (RAG)
- Vector Database (Qdrant, MongoDB Atlas)
- FastAPI
Soft Skills
- Leadership and mentorship
- Strong problem-solving ability
- Strategic Planning and Execution
- Self-learner
- Code Review and Quality Assurance
- Highly stress resistant
- Experience working in a startup and be part of an agile team
- Project management
- Mandarin (native) /English (TOEIC 840)
Familier Libraries
- Tensorflow / Keras
- Scikit-learn
- HuggingFace
- Pandas / Numpy
- Langchain
Work Experience
Uto.ai, Team Lead | Oct. 2023 - Present
At Uto.ai, I led the development of a multilingual, LLM-based chatbot that improved service delivery and user interaction across various countries. I managed a team of five engineers, focusing on complex, cross-functional communications in a fast-paced environment.
Leadership and Innovation
Spearheaded the AI team, focusing on talent acquisition, training, and mentorship. Implemented effective strategies for team growth and skill enhancement.
Project Management
Collaborated with stakeholders to align project goals with business objectives, ensuring cross-functional collaboration for project advancement.
Technical Expertise
Enhanced chatbot interactions by integrating vector databases with Retrieval-Augmented Generation (RAG), creating a customizable knowledge base, enhancing character interaction and user experience. Enabled support for multiple languages, catering to a diverse user base and showcasing the project's international reach.
Development of Long-Term Memory Systems
Utilized MongoDB to build a long-term memory system for the chatbot, enabling the retention and contextual use of information across interactions.
API Development
Led the development of RESTful APIs, ensuring seamless integration and communication between the chatbot and external services.
Quality Assurance and Best Practices
Conducted code reviews to maintain high standards of code quality, adherence to best practices, and to foster a culture of continuous learning and improvement within the team.
Playsee, AI Engineer, Mar. 2023 ~ Oct. 2023
At Playsee, I developed a conversational recommendation system that analyzed data from over 10 million users across multiple platforms. I designed text and video content recommendations tailored to international markets, thereby enhancing global user engagement.
Data Analysis at Scale
- Conducted in-depth analysis of extensive social media data, identifying user patterns and trends to inform the development of a conversational recommendation system.
Personalized Recommendations
- Leveraged the prowess of large language models (LLM), including ChatGPT, to guide users in articulating their preferences, enabling precise content recommendations.
- Collaborated directly with OpenAI engineers to stay at the forefront of LLM information and technology through bi-weekly webinar meetings.
- Analyzed user behavior with precision to deliver tailored recommendations, such as posts, reels and local stores.
- Formulated targeted advertising recommendations for commercial accounts in contexts that maximize their impact.
Vector Database Optimization
- Performed exhaustive benchmarking of multiple vector databases, discerning and implementing best practices to elevate system performance.
- Devised meticulous database schemas, finely tuned to achieve peak performance.
Sentence Embedding Service
- Evaluated a spectrum of embedding models, aligning selections with project requirements and effectively balancing performance and cost.
- Implemented GPU acceleration for expedited embedding computations while prudently managing budget constraints.
- Successfully orchestrated the deployment of the sentence embedding service onto Google Cloud Platform (GCP).
Emotibot, NLP Data Scientist, Sep. 2021 ~ Feb. 2023
As an NLP Data Scientist at Emotibot, I dedicated myself to advancing the field of Natural Language Processing (NLP) through research, innovation, and practical application. My role encompassed a wide range of responsibilities aimed at optimizing NLP downstream tasks, including Sentiment Analysis, Name Entity Recognition (NER), Relation Extraction, Key Information Extraction, and more. Here's a breakdown of my contributions:
Name Entity Recognition System
- Pioneered the development of a re-trainable platform for NER models, enabling fine-tuning with customized datasets.
- Successfully fine-tuned the baseline NER model, achieving an outstanding F1 score of up to 90%.
- Applied OCR results to extract critical information from receipts and tickets, enhancing data extraction capabilities.
Sentence Embedding
- Conceived and executed experiments utilizing pre-trained models to generate sentence embeddings, enhancing the performance of various NLP downstream tasks.
- Created an API server capable of receiving sentences and returning embeddings, streamlining the integration of pre-trained models across different modules, and improving operational efficiency.
Document Understanding
- Implemented a groundbreaking document encoder that leveraged coordinates and sentence embeddings from bounding boxes as features.
- Incorporated BERT models to extract relationships between different tokens within documents, augmenting the understanding of textual content with spatial information.
- Established a dedicated sentence embedding API server to support seamless integration and utilization of these enhanced document understanding capabilities.
Chungyo Group, Machine Learning Engineer, Nov. 2020 ~ Apr. 2021
Manage a project of a real-time forecasting system for online games. Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features to analysis user-behavior and built statistical models in Python based on ML algorithms like SVM, Logistic Regression, Neural Networks.
Universal Scientific Industrial, Machine Learning Engineer, Oct. 2017 ~ Jun. 2020
Implementation of Object Detection and Face Recognition on embedding systems. These functions help users to classify photos automatically from the background with only a few hardware resources.
Education
National Cheng Kung University, M.Sc. in Institute of Computer and Communication Engineering, 2014 ~ 2016
National Central University, B.Cs. in Communication Engineering, 2009 ~ 2014
Self-learning
Natural Language Processing
Recommendation System
TensorFlow Developer Certificate, 2021/04
Testing the ability to use TensorFlow to build deep learning models for a range of tasks such as regression, computer vision, natural language processing, and time series forecasting.
Coursera Certifications (Online Courses)
Shopee Code League 2020
Participate in Shopee Code competition. The competition contains some different kind of data science applications, such as Data Cleaning, Data Analytics, Object Classification and NLP. Link
Shopee Code League - Product Detection - Kaggle
Use EfficientNet to detect products in images. Reach the top 30%.
Shopee Code League - Logistics - Kaggle
Cleaning data. Flagged out the late deliveries and penalties are imposed on the providers to ensure they perform their utmost.
Core Competencies
Hard Skills
- Python / Unix / Shell Script / SQL
- ML / DL / NLP
- Git / Docker
- Anaconda / Poetry
- GCP / AWS
- Retrieval-Augmented Generation (RAG)
- Vector Database (Qdrant, MongoDB Atlas)
- FastAPI
Soft Skills
- Leadership and mentorship
- Strong problem-solving ability
- Strategic Planning and Execution
- Self-learner
- Code Review and Quality Assurance
- Highly stress resistant
- Experience working in a startup and be part of an agile team
- Project management
- Mandarin (native) /English (TOEIC 840)
Familier Libraries
- Tensorflow / Keras
- Scikit-learn
- HuggingFace
- Pandas / Numpy
- Langchain
Work Experience
Uto.ai, Team Lead | Oct. 2023 - Present
At Uto.ai, I led the development of a multilingual, LLM-based chatbot that improved service delivery and user interaction across various countries. I managed a team of five engineers, focusing on complex, cross-functional communications in a fast-paced environment.
Leadership and Innovation
Spearheaded the AI team, focusing on talent acquisition, training, and mentorship. Implemented effective strategies for team growth and skill enhancement.
Project Management
Collaborated with stakeholders to align project goals with business objectives, ensuring cross-functional collaboration for project advancement.
Technical Expertise
Enhanced chatbot interactions by integrating vector databases with Retrieval-Augmented Generation (RAG), creating a customizable knowledge base, enhancing character interaction and user experience. Enabled support for multiple languages, catering to a diverse user base and showcasing the project's international reach.
Development of Long-Term Memory Systems
Utilized MongoDB to build a long-term memory system for the chatbot, enabling the retention and contextual use of information across interactions.
API Development
Led the development of RESTful APIs, ensuring seamless integration and communication between the chatbot and external services.
Quality Assurance and Best Practices
Conducted code reviews to maintain high standards of code quality, adherence to best practices, and to foster a culture of continuous learning and improvement within the team.
Playsee, AI Engineer, Mar. 2023 ~ Oct. 2023
At Playsee, I developed a conversational recommendation system that analyzed data from over 10 million users across multiple platforms. I designed text and video content recommendations tailored to international markets, thereby enhancing global user engagement.
Data Analysis at Scale
- Conducted in-depth analysis of extensive social media data, identifying user patterns and trends to inform the development of a conversational recommendation system.
Personalized Recommendations
- Leveraged the prowess of large language models (LLM), including ChatGPT, to guide users in articulating their preferences, enabling precise content recommendations.
- Collaborated directly with OpenAI engineers to stay at the forefront of LLM information and technology through bi-weekly webinar meetings.
- Analyzed user behavior with precision to deliver tailored recommendations, such as posts, reels and local stores.
- Formulated targeted advertising recommendations for commercial accounts in contexts that maximize their impact.
Vector Database Optimization
- Performed exhaustive benchmarking of multiple vector databases, discerning and implementing best practices to elevate system performance.
- Devised meticulous database schemas, finely tuned to achieve peak performance.
Sentence Embedding Service
- Evaluated a spectrum of embedding models, aligning selections with project requirements and effectively balancing performance and cost.
- Implemented GPU acceleration for expedited embedding computations while prudently managing budget constraints.
- Successfully orchestrated the deployment of the sentence embedding service onto Google Cloud Platform (GCP).
Emotibot, NLP Data Scientist, Sep. 2021 ~ Feb. 2023
As an NLP Data Scientist at Emotibot, I dedicated myself to advancing the field of Natural Language Processing (NLP) through research, innovation, and practical application. My role encompassed a wide range of responsibilities aimed at optimizing NLP downstream tasks, including Sentiment Analysis, Name Entity Recognition (NER), Relation Extraction, Key Information Extraction, and more. Here's a breakdown of my contributions:
Name Entity Recognition System
- Pioneered the development of a re-trainable platform for NER models, enabling fine-tuning with customized datasets.
- Successfully fine-tuned the baseline NER model, achieving an outstanding F1 score of up to 90%.
- Applied OCR results to extract critical information from receipts and tickets, enhancing data extraction capabilities.
Sentence Embedding
- Conceived and executed experiments utilizing pre-trained models to generate sentence embeddings, enhancing the performance of various NLP downstream tasks.
- Created an API server capable of receiving sentences and returning embeddings, streamlining the integration of pre-trained models across different modules, and improving operational efficiency.
Document Understanding
- Implemented a groundbreaking document encoder that leveraged coordinates and sentence embeddings from bounding boxes as features.
- Incorporated BERT models to extract relationships between different tokens within documents, augmenting the understanding of textual content with spatial information.
- Established a dedicated sentence embedding API server to support seamless integration and utilization of these enhanced document understanding capabilities.
Chungyo Group, Machine Learning Engineer, Nov. 2020 ~ Apr. 2021
Manage a project of a real-time forecasting system for online games. Analyzed the data using Python libraries such as Pandas, Scikit-Learn, TensorFlow to extract features to analysis user-behavior and built statistical models in Python based on ML algorithms like SVM, Logistic Regression, Neural Networks.
Universal Scientific Industrial, Machine Learning Engineer, Oct. 2017 ~ Jun. 2020
Implementation of Object Detection and Face Recognition on embedding systems. These functions help users to classify photos automatically from the background with only a few hardware resources.
Education
National Cheng Kung University, M.Sc. in Institute of Computer and Communication Engineering, 2014 ~ 2016
National Central University, B.Cs. in Communication Engineering, 2009 ~ 2014
Self-learning
Natural Language Processing
Recommendation System
TensorFlow Developer Certificate, 2021/04
Testing the ability to use TensorFlow to build deep learning models for a range of tasks such as regression, computer vision, natural language processing, and time series forecasting.
Coursera Certifications (Online Courses)
Shopee Code League 2020
Participate in Shopee Code competition. The competition contains some different kind of data science applications, such as Data Cleaning, Data Analytics, Object Classification and NLP. Link
Shopee Code League - Product Detection - Kaggle
Use EfficientNet to detect products in images. Reach the top 30%.
Shopee Code League - Logistics - Kaggle
Cleaning data. Flagged out the late deliveries and penalties are imposed on the providers to ensure they perform their utmost.