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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Taipei, Taiwan
Senior Backend Engineer
Dans 1 mois
in Gin . Used GROM to increase DB operability and migrate. Used Kubernetes with Docker to build a test tool site. Victor Tech - PHP Team Lead 2019/01 ~ 2019/11 Used Laravel to develop backend system. Used Docker as local develop environment. PHP Team Leader, PHP team has up to 3 peoples. Maintained the old system of sports award source center. Used GitLab and Jenkins handle CI/CD process. Lead the team to develop a new lottery system. Used PHP extension Swoole to optimize Laravel performace (24 times the
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
德明財經科技大學
・
資訊管理
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
University of Bath
・
Sustainability and Management
Community Lead @The Oasians2021 ~ Présent
・
Fintech
Dans 1 mois
楊堉承 (Joe) Passionate DeFi operations and community leader with experience in content creation, social media management, and blockchain education. Proven track record driving audience engagement and growth across multiple cryptocurrency projects. Hsinchu, Taiwan https://www.linkedin.com/in/joeyang95/ Work Experience Operation Manager • TRONDAO TRONDAO - A pioneer in creating a decentralized internet using blockchain technology. It powers decentralized apps (DApps) and emphasizes empowering developers to innovate freely. Content Strategy Execution: Increased Twitter followers by 5.09% to 1.49M and YouTube subscribers by 2.
Employé
Temps plein / Intéressé par le travail à distance
4 à 6 ans
University of Birmingham
・
International BusinessTech Lead/ Senior Software Engineer/SA @CTBC Bank2020 ~ Présent
・
Senior Software Engineer
Dans 1 mois
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
國立中正大學 National Chung Cheng University
・
工程學雲端計算與物聯網碩士Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
逢甲大學
・
資訊工程
Apple Solution Consultant (ASC) @Apple - Taipei, Taiwan2009 ~ 2011
・
Manager
Plus d'1 an
impact on customers. Performanced strong teamwork, exceeded personal sales goals by 20% monthly. Customer Engagement Sales Closing Skills Tools I use to increase working efficiency Slack Trello Notion Hubspot Mixpanel Mixmax Skills Business Development SaaS/software Sales Stakeholder Relations Language Chinese — Native English — Proficient Education Hanken & SSE Executive Education Entrepreneurship | Leadership | Business Strategy 2019 Business Lead Program Shih-Hsin University Information Management (B.AGo the extra mile. It's never crowded. I'm also recognized as a... Volunteer at Google's Communities WTM (Woman Techmakers) GDG (Google Develop...
Employé
Temps plein / Uniquement Travail à distance
4 à 6 ans
Hanken & SSE Executive Education
・
Business strategy｜Entrepreneurship｜ LeadershipInternational Business Manager @IT & Service sectors2015 ~ Présent
・
International Business Manager
Plus d'1 an
analytics, A/B testing, optimization ; - Marketing planning, business intelligence & management, demand generation ; - Pricing and proposal generation, sales cycle management and recurring revenues ; - Cross architecture between teams & liaison between freelancers / suppliers ; - Forecast, KPIs, P&L, CRM management, reporting & collaborative work. Asia-Pacific Key Account Manager • Terraillon JanDecFrench Market Leader in Scales, Medical and Well-Being Connected Items Portfolio : 1, 5 Million USD/Covered areas : South Korea, Japan, Taiwan, Australia . - Strategic development : country targeting, market research, retailers, business plan - Business development & Export : prospecting, account management, meetings in Asia, international trade shows, negotiation, merchandising, dispute resolution - Management of
10 à 15 ans
INSEEC
・
MBA International
RD Manager @Intella2017 ~ 2021
・
方案解決設計組 經理
Dans 1 an
co/ 1. Build private Parity POA Ethereum Blockchain and delvelop smart contract for Ticketing platform, deploy on GCP using k8s. 2. Develop online invoice system for TSMC staff cafeteria. 3. Responsible for company E-ticket trading system (including iCash, EZC, iPASS). 4. Leader of the R&D team. 2017//01 Senior Software Engineer • TutorABC Inc https://www.tutorabc.com/OfficialSite/zh-TW/HomeEn 1. Mainly targets are developing backend api for all brands of English learning App. 2. Designing
6 à 10 ans
Past
Product Manager @WhaleTeq Co. LTD2015 ~ 2020
・
Growth Hacker/ Product Manger/ Data-Driven Marketer
Dans 1 mois
week testing cost/version" through leading an auto-testing mechanism Version management: Collect feedbacks, host the content/schedule meetings, and after release notification D. Procedure Management Discuss with the team and build the company procedure Design the procedure templates Constantly execute and optimize the procedure after releases == Leadership: 1st formal PM in the company. Lead company growth from 6 to 27 people Set and share the meaningful goal Propose the sold model that accelerates the developing speed and acquire revenue == Achievement: Dig out the QBQ of the customer, causing the customer to buy 5 times of
Sans Emploi
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Chiao Tung University
・
Electronic Engineering
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司2022 ~ Présent
・
Dans 2 mois
identify customer demand, product/solution landing, and finish 5 POC. •Responsible for ELK stack, back-end system, and pre-alert system for the new product. •Drove analysis data and visualize it for the dashboard and backstage management system for insight and impact. Covino Farms, Deputy Team Leader, Nov 2015 ~ Sep 2017 •Fixing the relationship with customers and ledmembers to finish daily orders. National Taichung University of Education, Research Assistant, May 2014 ~ Dec 2014 •Project: Using Motivation Approach to Enhance Low Achievers Science Learning Motivation and Thinking Ability. •Responsible for data processing, statistical analysis, and
Employé
Temps plein
4 à 6 ans
國立中央大學
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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.