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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Lead of Country Product Manager @Asus 華碩電腦股份有限公司2022 ~ 2023
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
Within one month
a 200% increase in partnership revenue . Provided visionary team leadership and mentorship, empowering team members to excel in their roles and contribute to overall success. Implemented leadership development programs resulting in a 50% increase in employee satisfaction and retention. Product Manager • ASUSTeK Computer Indonesia JulJun 2022 | Jakarta, Indonesia Key responsibilities & Achievements - #PLM #GTM #design thinking #channel expansion #data analysis Strategically managed the entire product lifecycle of consumer notebooks, from ideation to end-of-life, ensuring timely launches, feature enhancements, and product retirements. Conducted comprehensive competitive analysis to ident...
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立陽明交通大學(National Yang Ming Chiao Tung University)
・
Bachelor of management , Management of Transportation and Logistics
Senior UX Designer / UX Strategist @HTC 宏達國際電子股份有限公司2022 ~ Present
・
UI/UX Designer
Within one month
which included reorganized the information structure, adjusted layout of page contents and considered the limitations of RWD to plan the visual design. Building a brand new E-Commerce Platform with cross-functional team members. Planning the UX flows and UI design solutions for E-Commerce Platform by sorting out the mechanism of forward and reverse logistics, data of shopping behavior and feedback of quality testing. Gamania Digital Entertainment UI/UX Designer May 2014 ~ Jun 2018 Developing B2C mobile App from 0-1, with Agile development team. Excelling in competitive analysis for proposing ...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Birmingham City University
・
Visual Communication
Sales & Marketing Manager @聖和汽車股份有限公司 Sheng-Ho Automobiles2018 ~ Present
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
Within one month
of the French Stellantis Group's Peugeot & Citroen brands. Taiwan flagship store. Implemented innovative sales strategies, leading my team to a 96% increase in sales performance, significantly boosting company revenue. Led a 13-member team to successfully launch a branding campaign that enhanced company visibility and boosted competitive sales performance. Led sales and marketing strategies, successfully expanding and maintaining customer base. Enhanced customer engagement and trust through events withparticipants, significantly boosting annual sales growth. In response to the urgent need for a brand transition, I led the strategic shift from British luxury brand Jaguar
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Loughborough University
・
Marketing & Management
Past
Design Lead @1TM2020 ~ Present
・
Product Designer (UI/UX)
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Shih Chien University
・
媒體傳達設計學系產品總監 @禾亞數位科技股份有限公司2022 ~ Present
・
Product manager, Senior Product Manager, Product Director
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程系
Team Lead & Rigger @CGR COMPETITIVE GLOBAL RESOURCES2022 ~ 2024
・
Rigger & Field Operations
Within one month
REZDUAN BIN KASIM [email protected] https://www.linkedin.com/in/rezduan-kasim-1b81b7191 https://www.facebook.com/rezduan.kasim86?mibextid=ZbWKwL Team leader & Rigger Dan pernah Menjadi Pilot Team dalam Project CelcomDigi Work Experience Ketua pasukan & Rigger • CGR COMPETITIVE GLOBAL RESOURCES JanuariFebruari 2024 | Kuala Lumpur Team leader & rigger Bahagian pemasangan alat-alat telekomunikasi berkaitan CelcomDigi contoh: Radio frequency (RF) Transmission (TX) Configuration system Rigger • INTEG JanuariDisember 2021 | Kuala Lumpur Team leader & rigger Bahagian pemasangan alat-alat telekomunikasi contoh: Radio frequency (RF) Transmission (TX) Configuration system
Employed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
BRASS (Bukit Rangin Secondary School)
・
SPMPast
Product Development Specialist @Emporium Corporation2021 ~ 2024
・
商務開發、專案管理、產品開發
Within one month
sea freight. Conducted product testing, coordinated import procedures, and oversaw component inspections to ensure product compliance. Represented the company during overseas business trips to the United States, South Korea, and Thailand, conducting market research both online and in physical markets to identify potential products for development. Gathered competitive intelligence and information on rival products to inform product development strategies. Adjusted product specifications and devised sales strategies based on market analysis. Developed pricing strategies and formulated marketing plans for new products. Tracked and evaluated product performance, and provided training and product information to sales staff
Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
北九州YMCA
・
JapaneseOperation & Marketing Director / US & SEA Region @17LIVE Inc.2021 ~ Present
・
Marketing or Operation Manager / Director
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Birmingham City University
・
Events and Exhibition Management
Past
Sales Manager @Uneo Inc. 利永環球科技股份有限公司2022 ~ Present
・
Sales Manager, Project Manager
Within one month
and formulate sales price strategies, analyze product competitors in the market, and develop response strategies to ensure existing profits and market share, and plan gross profit reserved marketing expenditures and The client's expected annual expenditures are determined to formulate a price sales strategy that is in line with market competitiveness. 5. Supply Chain management: Evaluate product specifications/plan product line and strategy/estimate purchase, channel customers and sales quantity/evaluate purchase cost and estimate market selling price/warranty 6. DOA & RMA/post-introduction purchase, sales and inventory planning. 7.
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
Swiss Hotel Management School
・
Hotel Management Operation
Human Resources Staffing @EVERGREEN LINE2022 ~ Present
・
國外業務人員
Within one month
end bonuses, and promotions. 二月八月 2022 EVERGREEN LINE Sales Department Representative Staff I worked as a Sales Representative at Evergreen Marine Corp. I entered the maritime industry and took on responsibilities for tracking and collecting export cargo from Taiwan to Southeast Asia. Despite the competitive situation in the shipping market, I remained diligent, consistently achieving goals, and contributing to the company's success: Key responsibilities included developing new clients Maintaining relationships with existing clients Coordinating vessel space allocation, maximizing profit. Formulating effective strategies through market analysis. 五月二月 2020 Taipei
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Chinese Culture 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.