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4-6 years
6-10 years
10-15 years
More than 15 years
Product Manager & Executive Assistant to CEO @慕渴股份有限公司-鮮乳坊2020 ~ 2023
・
Within two months
品開發與經營、行銷 公關、跨領域合作、跨部門溝通協調等技能。 •6+ years Project Management, Marketing and PR experience in multiple industries specialized in strategic planning and execution. •Multinational company and Startup company experience, ability to perform under pressure, simultaneously handle multiple tasks, and feel comfortable working in a fast-paced, constantly changing environment. •Analytical thinking for data-driven decision making and marketing strategy. •Creative thinking and storytelling skills for briefing, press release, and media content. •Extremely communicative person with efficient
4-6 years
國立政治大學（National Chengchi University）
・
企業管理研究所 MBA Program
Past
Product Director @Twin Beans2018 ~ 2023
・
Product manager, Senior Product Manager, Product Director
Within one month
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
Medical deviceSenior Analyst Programmer @Po Leung Kuk2023 ~ Present
・
Analyst Programmer
Within one month
Full-time / Interested in working remotely
6-10 years
University Of The West Of England
・
Information Technology
Supervisor @NEC (台灣恩益禧股份有限公司)2009 ~ Present
・
Within one month
Aya Fan 范彩萍 Regulatory Compliance Engineer Mobile:E-Mail: [email protected] Experienced in product world wide sustainability and environmental regulatory compliance engineer with 18 years in IT industry (Monitor, Projector), also experienced in safety and EMC compliance. I'm a fast-learner, logical, stable and capable of working independently and under pressure and I'll try my best to create the value of myself !! Work Experience NEC Taiwan Ltd., Supervisor, 2010/12~2024/12 Safety and EMC compliance and providing expert engineering support to ensure products adhere to international
Full-time / Interested in working remotely
6-10 years
淡江大學（Tamkang University）
・
應用日語
Past
System Analyst @EbixCash2022 ~ Present
・
Senior Software Engineer
Within six months
API, AJAX, jQuery and JavaScript. Contributed to the development and maintenance of several software applications and part of the teams successfully to deliver critical projects on time. Having hands-on experience in multiple domains like: PNC Insurance, CRM, E-commerce, ERP systems, Sports System, Hotel Management systems. Ability to handle and manage project delivery deadlines. Provide mentorship on problem tackling to the team members. Ability to concisely articulate status, issues and risks. Experience in project and project management, planning, workflow, multi-tasking and problem solving. Work Experience System Analyst EbixCash JunePresent Noida, Uttar
Unemployed
Full-time / Interested in working remotely
4-6 years
Integral University, Lucknow, Uttar Pradesh
Executive Secretary @Yu-Chun Green Energy Technology Incorporated Company2013 ~ 2015
・
秘書助理
More than one year
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Life science
Account Manger @台灣經濟新報文化事業股份有限公司2019 ~ Present
・
Account/ Sales Assistant Manager, Business Development Associate, Project Management
Within one month
and achieve common goals. Analysis and Problem-Solving: Excellent analytical and problem-solving skills, quickly identifying issues and proposing effective solutions. Financial Analysis:Utilizing financial data for industry and company analysis. 02,, 2017 Taipei, Taiwan Financial consultant CTBC BANK Communication Skills : Demonstrates excellent communication skills, with the ability to clearly explain complex financial concepts to customers and establish good communication and trust relationships. Resilience: Be able to handle work-related pressures and remains calm . Professional Integrity: Ethical standards and regulations, ensuring customers' best interests. EducationMing Chuan University ,Taipei,Taiwan Department of Banking and Finance
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
台北市銘傳大學
・
Finance, undefined
Wordpress Website Developer @HS IT PROFESSIONAL2018 ~ Present
・
More than one year
Muhammad Hasnat Ali I am a confident and establish person with the ability to learn and adapt quickly to new challenges and to handle difficult situations under pressure. I have an organized approach coupled with professional knowledge working effectively either on my own or as part of a team. Phone :Email : [email protected] Sargodha, Punjab, Pakistan Work Experience Word press Website Developer • HS IT PROFESSIONAL DecemberPresent I am working as a WordPress website developer at HS IT PROFESSIONAL for the past 3-years. I have also performed teaching WordPress development here. Social Media
Part-time / Interested in working remotely
4-6 years
Univeresity Of Lahore
・
BS-Software Engineering
Past
Procurement Supervisor @New Kinpo Group2018 ~ 2020
・
Within one year
DANIEL CHEN For more than 15 years, I have been purchasing equipment, institutional materials, raw materials and manufacturing procedures. Performance-driven and knowledgeable Purchasing Manager skilled at managing all daily purchasing operations, evaluating suppliers, negotiating prices, and leading the purchasing team. Possess excellent communication skills, well-developed leadership skills, and significant ability to work in a team and under pressure Taipei，[email protected] Work Experience XING Mobility Inc. Procurement Supervisor 2022/07 ~2022/11 Responsibilities: Management and development of supply chain. Communication and bargaining with suppliers. Supplier development of machinery
Unemployed
Full-time / Interested in working remotely
More than 15 years
Fu Jen Catholic of University
・
Accounting
Offline
Offline
Software Engineer @Microsoft2021 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one year
Bing-Min(Ben) Wang Currently, I work as a software engineer on the AdInsight team at Microsoft where I handle petabyte-scale data, maintain stable services, and utilize both deterministic and machine learning techniques to recommend keywords. In addition, I have experience in applying machine learning in other areas, such as healthcare. I am an open-minded and fast learner, with the ability to quickly adapt to new processes, systems, and technologies. I excel in time management, multitasking, and thrive under pressure. I am passionate about tackling tough technical challenges and collaborating with team members to
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
・
Electrical EngineeringThe Most Lightweight and Effective Recruiting Plan
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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
Employed
Job Search Progress
Not open to opportunities
Professions
Data Scientist
Fields of Employment
Software
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Languages
Job search preferences
Positions
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Job types
Full-time
Locations
Taipei, 台灣, Singapore, Japan
Remote
Interested in working remotely
Freelance
No
Educations
School
National Cheng Kung University
Major
Electrical Engineering
Bing-Min(Ben) Wang
Currently, I work as a software engineer on the AdInsight team at Microsoft where I handle petabyte-scale data, maintain stable services, and utilize both deterministic and machine learning techniques to recommend keywords. In addition, I have experience in applying machine learning in other areas, such as healthcare.
I am an open-minded and fast learner, with the ability to quickly adapt to new processes, systems, and technologies. I excel in time management, multitasking, and thrive under pressure. I am passionate about tackling tough technical challenges and collaborating with team members to solve difficult problems. I take pride in bringing my ideas to life through real-world applications.
E-mail: [email protected]
Skills
- Have practical experience in developing and managing distributed systems, as well as handling large-scale data.
- Combine deterministic and ML-based techniques to generate keyword recommendations that meet latency requirements while maintaining high quality.
- Design state-of-the-art deep neural networks to solve imaging problems (2D/3D), sequential/time series and tabular data
- object detection such as Faster R-CNN, SSD and YOLO, image segmentation such as U-Net
- attention model such as Transformer
- Demonstrate a solid understanding of generative models, such as GPT and diffusion models, showcasing proficiency in leveraging their capabilities for various applications
- Test and evaluate algorithms to prove robustness
- Have great communication, planning skills and profound experience in cooperating with experts in other fields
Work Experience
Microsoft，Sep 2021 - Present
Software Engineer, AdInsight (STCA)
- Conduct Ads Globalization:
- Enable ES/IT/NL recommendations in daily services pipeline(new keyword recommendation). About 2~3% increase in the revenue.
- Support markets expansion in real-time services. The real-time product(K2K, keyword to keyword) can support extra 64 markets by leveraging table generated by partner team.
- Improve the quality(coverage and depth) of the suggestions by introducing the INTL(international) TwinBERT trained from partner team.
- Resolve language mismatch issue in daily services pipeline to decrease the dismiss and rate ultimately drive the revenue growth.
- Set up a daily pipeline to monitor the quality of ES/IT/NL suggestions to prevent hurting user experience owing to globalization.
- Resolve MAD(monitor, alerting, diagnosis) service doesn't send alerting emails in time for specific jobs to prevent team from getting ICM tickets
- Leaverage LLM (large language model) to replace human-labeling and reduce ~30% of labeling budget.
HTC Healthcare (DeepQ)，Sep 2018 - Aug 2021 · 3 yrs
Senior Deep Learning Engineer, Deep Learning Apps
- Nodule Detection: Developed the 3D detection model (Faster R-CNN, U-Net like backbone) from scratch and use Focal loss and adding hard negative example gradually to deal with the large class imbalance
- Intracranial Hemorrhage Classification: Developed the ICH classification model (Efficient-Net) combined with transformer encoder to consider sequential information and deployed to hospital PACS system with heatmap visualization
- Ischemic stroke segmentation: Develop the segmentation model to segment core/penumbra zone which can be used in deciding treatment in stroke patient.
- Facial Landmark Detection: Developed the real-time face detection model(SSD: Single Shot MultiBox Detector) from scratch and deployed to mobile web browser(onnxjs, tfjs)
- Fingertip Detection: Improved performance(~5 AP) of the real-time YOLO-like model running on mobile device(tflite) by a novel data augmentation
Competitions
RSNA Intracranial Hemorrhage Detection (Kaggle), ranked top 3% (silver)
- Developed an algorithm to detect acute intracranial hemorrhage and its subtypes
- Multi-label Classification
APTOS 2019 Blindness Detection (Kaggle), ranked top 4% (silver)
- Developed a classifier that output the severity of diabetic retinopathy given the retina images
- Ordinal Classification
KDD CUP 2017 - Task2, ranked top 2.3%
- For every 20-minute time window, predict the entry and exit traffic volumes at tollgates
Projects
Stand ML Group - CheXpert
- Developed a convolutional neural networks that output the probability of 14 observations given the available frontal and lateral radiographs
Credit Scoring (Sinopac), Jul. 2017 to Jul. 2018
- Developed a classifier to predict a company will default or not, and extract the readable rules which are verified by the experts
Education
National Cheng Kung University (NCKU), Sep. 2016 - Jun. 2018
Master of Electrical Engineering
- Thesis: Exploring neural network hyper-parameters on small datasets and hand-crafted features: take credit scoring as an example
- GPA 4.15
National Cheng Kung University (NCKU), Sep. 2012 - Jun. 2016
Bachelor of Electrical Engineering
- Independent Study: Transmitter Front-End Circuit Architecture
Bing-Min(Ben) Wang
Currently, I work as a software engineer on the AdInsight team at Microsoft where I handle petabyte-scale data, maintain stable services, and utilize both deterministic and machine learning techniques to recommend keywords. In addition, I have experience in applying machine learning in other areas, such as healthcare.
I am an open-minded and fast learner, with the ability to quickly adapt to new processes, systems, and technologies. I excel in time management, multitasking, and thrive under pressure. I am passionate about tackling tough technical challenges and collaborating with team members to solve difficult problems. I take pride in bringing my ideas to life through real-world applications.
E-mail: [email protected]
Skills
- Have practical experience in developing and managing distributed systems, as well as handling large-scale data.
- Combine deterministic and ML-based techniques to generate keyword recommendations that meet latency requirements while maintaining high quality.
- Design state-of-the-art deep neural networks to solve imaging problems (2D/3D), sequential/time series and tabular data
- object detection such as Faster R-CNN, SSD and YOLO, image segmentation such as U-Net
- attention model such as Transformer
- Demonstrate a solid understanding of generative models, such as GPT and diffusion models, showcasing proficiency in leveraging their capabilities for various applications
- Test and evaluate algorithms to prove robustness
- Have great communication, planning skills and profound experience in cooperating with experts in other fields
Work Experience
Microsoft，Sep 2021 - Present
Software Engineer, AdInsight (STCA)
- Conduct Ads Globalization:
- Enable ES/IT/NL recommendations in daily services pipeline(new keyword recommendation). About 2~3% increase in the revenue.
- Support markets expansion in real-time services. The real-time product(K2K, keyword to keyword) can support extra 64 markets by leveraging table generated by partner team.
- Improve the quality(coverage and depth) of the suggestions by introducing the INTL(international) TwinBERT trained from partner team.
- Resolve language mismatch issue in daily services pipeline to decrease the dismiss and rate ultimately drive the revenue growth.
- Set up a daily pipeline to monitor the quality of ES/IT/NL suggestions to prevent hurting user experience owing to globalization.
- Resolve MAD(monitor, alerting, diagnosis) service doesn't send alerting emails in time for specific jobs to prevent team from getting ICM tickets
- Leaverage LLM (large language model) to replace human-labeling and reduce ~30% of labeling budget.
HTC Healthcare (DeepQ)，Sep 2018 - Aug 2021 · 3 yrs
Senior Deep Learning Engineer, Deep Learning Apps
- Nodule Detection: Developed the 3D detection model (Faster R-CNN, U-Net like backbone) from scratch and use Focal loss and adding hard negative example gradually to deal with the large class imbalance
- Intracranial Hemorrhage Classification: Developed the ICH classification model (Efficient-Net) combined with transformer encoder to consider sequential information and deployed to hospital PACS system with heatmap visualization
- Ischemic stroke segmentation: Develop the segmentation model to segment core/penumbra zone which can be used in deciding treatment in stroke patient.
- Facial Landmark Detection: Developed the real-time face detection model(SSD: Single Shot MultiBox Detector) from scratch and deployed to mobile web browser(onnxjs, tfjs)
- Fingertip Detection: Improved performance(~5 AP) of the real-time YOLO-like model running on mobile device(tflite) by a novel data augmentation
Competitions
RSNA Intracranial Hemorrhage Detection (Kaggle), ranked top 3% (silver)
- Developed an algorithm to detect acute intracranial hemorrhage and its subtypes
- Multi-label Classification
APTOS 2019 Blindness Detection (Kaggle), ranked top 4% (silver)
- Developed a classifier that output the severity of diabetic retinopathy given the retina images
- Ordinal Classification
KDD CUP 2017 - Task2, ranked top 2.3%
- For every 20-minute time window, predict the entry and exit traffic volumes at tollgates
Projects
Stand ML Group - CheXpert
- Developed a convolutional neural networks that output the probability of 14 observations given the available frontal and lateral radiographs
Credit Scoring (Sinopac), Jul. 2017 to Jul. 2018
- Developed a classifier to predict a company will default or not, and extract the readable rules which are verified by the experts
Education
National Cheng Kung University (NCKU), Sep. 2016 - Jun. 2018
Master of Electrical Engineering
- Thesis: Exploring neural network hyper-parameters on small datasets and hand-crafted features: take credit scoring as an example
- GPA 4.15
National Cheng Kung University (NCKU), Sep. 2012 - Jun. 2016
Bachelor of Electrical Engineering
- Independent Study: Transmitter Front-End Circuit Architecture