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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Senior Specialist @HCL Technologies2023 ~ 2023
・
Senior software quality assurance engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Anna university
・
Civil Engineering
營運總監 @浙江力積存储有限公司2022 ~ Present
・
營運總監
Within one month
晶圓針測、封裝、測試外包產能管理 • 整合業務、生管部門月度生產計劃 • 終端客戶急單安排與調度 • 未滿足訂單分析與管理 • 庫存水位管理 學歷 大葉大學 DaYeh University 工業工程與管理專案 技能 TipTop ERP SAP ERP Oracle SQL Developer MS SQL / MySQL Python Programming VB6 VBA 語言 Chinese — 母語或雙語 English — 進階
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
大葉大學 DaYeh University
・
工業工程與管理
技術經理 @SYSTEX 精誠資訊2021 ~ Present
・
Hybrid Architect and Backend Engineer
Within one month
回原營運資料庫 4.自我成長 4.1 程式撰寫(udemy) a.Go: The Complete Developer's Guide (Golang) b.The Nuts and Bolts of OAuth 2.0 c.REST API Design, Development & Management d.Python 3零基础完全入门与提高 e.Apache Beam | A Hands-On course to build Big data Pipelines 4.2 GCP 證照取得 a.Cloud Achitect b.Data Engineer 4.3 實體課程 a.
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
臺灣國立空中大學
・
法律專班 
Past
IoT software engineer @Upwork as a Freelancer2022 ~ Present
・
CTO、Sr.Software Manager、Sr.Software Engineer
Within one month
系統設備）的更新。 熟悉的技術： a. 嵌入式Linux、Yocto專案、QT、Cmake、Docker b. MCU、Cortex M、Modbus、OPCUA c. IoT AWS、Apache Kafka d. Java web Spring boot、RESTFUL API、Mysql DB、Mongodb e. Python、Flask、Django、OpenCV Eng. Ver. Responsible for the update of the real-time monitoring system (embedded system device with web java-based GUI) for the province-wide gateway control of Taiwan’s high-speed rail. 二月七月 2022 IoT software engineer 谷林運
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
國立中興大學
・
物理
Order Shipping Specialist @Alson Retail Co. Ltd.2022 ~ Present
・
Product/Project Manager
Within one month
Reynaldo Suryo Purnomo A Master's Student from Indonesia who is experienced in purchasing and specialized in vendor relations, data analysis, and inventory management. An organized, punctual, and proactive person who also continuously learns and stays updated with industry trends. Supported by a broad skill set and important credentials such as a PSM 1 certificate, AWS knowledge, and a Cisco Networking certificate. Taipei City, Taiwan https://credly.com/users/reynaldosuryo/ Work Experience Order Shipping Specialist Alson Retail Co. Ltd. • MayPresent A top leading Indonesian e-commerce platform in Taiwan
Studying
・
Ready to interview
Intern / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
Department of Information Management
Past
Staff Software Engineer @VicOne (A subsidiary of Trend Micro)2021 ~ 2023
・
軟體工程師
Within one month
Zac Sung (宋凡宇) 9 years of software development experience Familiar with embedded Linux, C++/C/Python programming Familiar with Agile software development process Experienced in test automation Interested in problem-solving with different approaches Interest and ability to learn other coding languages/technique as needed Taipei City, Taiwan [email protected] Zac SungEXPERIENCE Staff Software Engineer • VicOne (A subsidiary of Trend Micro ) SepNov 2023 | 2 yrs 3 mos Developed Secure OTA (Over-the-Air) Update related functions on Linux-based and Android-based systems. Improved automotive software update security and
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Yuan Ze University
・
Electrical Engineering (Group: Digital Technology)Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
逢甲大學
・
資訊工程Sr. Inspection Process Engineer @Corning Incorporated2018 ~ Present
・
Technical support engineer
Within two months
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Sun Yat-sen University
・
Computer Science, Data mining, Database modeling
Geographic Information System Specialist @Thiess2023 ~ Present
・
GIS Specialist
Within two months
to complete before due. PPIC (Project Planner and Inventory Control) Vessel Staff • PT Gerbang Saranabaja AugustOctober 2016 | Jakarta, Indonesia Successfully planned, estimated, and controlled more than five oil and gas, and chemical industry projects. Education Diponegoro University Geological Engineering •Thesis about Mentawai's Accretion Zone Skills GIS Software Python Programming SQL Database Data Engineering Microsoft Office ArcGIS Pro ArcGIS Desktop ArcGIS Enterprise Survey123 ArcGIS Field Maps Geocortex Global Mapper Languages Indonesian — Native or Bilingual English — Fluent Certification Microsoft Certified: Azure AI FundamentalsArcGIS Pro ProfessionalMicrosoft Certified: Azure Data FundamentalsEnterprise Administration ProfessionalMTA: Introduction to Programming Using Python - Certi..
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Diponegoro University
・
Geological/Geophysical Engineering
Django/Python Developer @Techorphic2018 ~ Present
・
Front-End / Back-End / Full Stack Web Developer / Web Developer / Software Developer / Software Engineer
Within two months
a focus on clean, efficient code and best practices, I've consistently delivered high-quality applications that drive business objectives forward. From database design to backend logic, I've tackled every aspect of Django development with precision and creativity. Ready to leverage my expertise for even greater challenges, I am poised to continue pushing the boundaries of Python Django development for the next five years and beyondEducationForman Christian College (A Chartered University) Computer ScienceGovernment College Of Science Lahore Field of studyThe trust school Field of study Skills Software Development python programming Backend Development SaaS Pl...
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Forman Christian College (A Chartered 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.