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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
Within one month
Denny Cheng ( 鄭翔元 ) I am a software engineer with diverse skills. From 2016 to 2018, I was responsible for Android and backend development (Python Flask). From 2019 to 2023, my main focus was on Flutter and React. In addition, I also use C# for side project development. My skill set spans across the development of applications for various platforms, and I maintain a curious and learning-oriented attitude towards new technologies. Taipei, Taiwan [email protected] EducationNational Cheng Kung University ( 國立成功大學 ) Computer Science and Information
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
Past
設計 @鳳嬌催化室 Fenko Catalysis Chamber2019 ~ 2023
・
Garphic Designer / Space Planner / Visual Designer
Within two months
Chaio Wei Hsu Graphic Designer | Visual Designer Taipei City, Taiwan I'm a graphic designer who is curious about things and easy to get along with. I look forward to integrating my professional abilities into the values I identify with and progressing together with the team. Through the power of design, I hope to enable more people to encounter and understand more beautiful things. T |E | [email protected] https://yamayamaxu.myportfolio.com/ Experience NovJul 2023 Taipei, Taiwan Senior Graphic designer Fenko Catalysis Chamber (鳳嬌催化
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立政治大學 National ChengChi University
・
傳播學院廣告學系, 東南亞語言學程（泰語）
Within one month
app? Look no further! Our Galatea Points Cheat Generator is here to revolutionize your reading experience. With our innovative tool, you can effortlessly unlock 250 free points, granting you access to a plethora of premium content without breaking the bank. Unveiling the Secrets Behind Our Points Cheat Generator Curious about how it all works? Let's delve into the details: Step 1: Accessing the Generator Simply visit our website and navigate to the Galatea Points Cheat Generator. This intuitive, user-friendly tool is designed to streamline the process, ensuring a seamless experience from start to finish.
Employed
・
Open to opportunities
Full-time / Remote Only
10-15 years
Technology Leader @AIBDT2023 ~ Present
・
Software Engineer / Backend Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Agricultural ChemistryApple Magic KB NPI Electronic Supplier Quality Engineer Lead @HON HAI Technology Group2022 ~ Present
・
Section Manager
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Nation Sun Yat-sen University (NSYSU)
・
E-CommercialSenior Graphic Designer @Self-Employed2019 ~ Present
・
Visual design and strategic /UX designer/Product design and management/
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
長庚大學 Chang Gung University，CGU
・
Industrial design
Software Test Automation Engineer @Atomica AI2021 ~ Present
・
QA automation engineer / Software development engineer in test
Within one month
testers, like pytest-qatouch a python plugin, and Utask (Todoist clone) , a react web app to be used to practice testing activities. I like to think of myself as an ambivert who tends to be an introvert, a quick learner, flexible working with different tools & technologies in different environments, curious, and eager to gain tons of experiences. Cairo, Egypt [email protected] Phone:Work Experience Software Test Automation Engineer Atomica AI • AprilPresent As an extension to my work in 360Imaging, we moved to Atomica.ai, and I work as a senior manual/automation tester
Employed
・
Open to opportunities
Part-time / Remote Only
4-6 years
Udacity
・
Cloud DevOps Engineer
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Wan-Ling (Lyn), Chen CAREER SUMMARY 7 years of diverse data and AI experience in engineering and advisory roles across varied industries. Provided end-to-end advisory on data and AI solutions, covering data platforms, lakehouse architecture, data security & LLM. Led PoCs delivery, solution design, and workshop execution for clients' digital transformation. Managed data architecture across 70 global offices, demonstrating adaptability in complex data landscapes. Actively participated in projects addressing board portfolios such as data and AI, security, and automation. Achieved a 76.6% revenue boost through strategic volume monetization. Goal-oriented, curious
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychology
Software Engineer @SmartNews2019 ~ Present
・
數據分析 / 資料工程
Within one month
Connor Hsu Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest. [email protected] Summary 9 years experience of large scale AI product building, and is capable of building product from scratch. Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning. A well-rounded engineer in data project who bridges the gap between scientists and engineers. A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer Science
iOS Engineer @99.co2022 ~ Present
・
iOS Developer
Within one month
Victor Chungyun LEE A Taiwan native, I am a passionate iOS developer currently based in Hong Kong. With a curious mindset and a constant drive to learn, I have pursued interests in teaching computational thinking and exploring innovative products. As an iOS developer and STEM educator, I bring a unique blend of technical expertise and a dedication to continuous growth. TW | HK | SG https://funclosure.xyz/ Work Experience iOS Engineer • 99.co • Remote/SG JulyPresent At 99.co , one of Singapore's leading real estate platforms, I served as an
Full-time / Interested in working remotely
4-6 years
The Hong Kong Polytechnic University
・
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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
Current status
Unemployed
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
4-6 years work experience (2-4 years relevant)
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Job search preferences
Positions
Machine Learning Engineer
Job types
Full-time
Locations
Taipei, 台灣, Tōkyō, 東京都日本, Singapore, China
Remote
Interested in working remotely
Freelance
No
Educations
School
National Cheng Kung University
Major
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.