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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Assistant Accounting Finance Manager @Vacation Homes 3652019 ~ Present
・
Administration Staff and Customer Service
Within one month
John Michael Sorbito RN Versatile and experienced professional with a proven track record of success in customer service, sales, and education. Expertise in building rapport, resolving issues, and achieving sales targets. Passionate about helping others and delivering exceptional results. Bacolod, Negros Occidental, Philippines Work Experience Assistant Accounts and Finance Manager • Vacation Homes 365 JanuaryFebruary 2024 •Manage 60 properties listed through Airbnb, booking.com and VRBO as well. • Manage property listings and pricing include rate adjustment and resolution managements. •Developed and maintained a system for tracking accounts receivable and accounts payable •Handles all Invoicing responsibilities
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Carlos Hilado Memorial State University
・
Education
Past
Design Lead @1TM2020 ~ Present
・
Product Designer (UI/UX)
Within one month
Kung Ying Hsieh Product Designer New Taipei City, Taiwan 10+ years of experience in the UI/UX field of product design, including more than 4 years of team leadership roles. Passionate about creating innovative products that can bring inspiration and value to people. Work Experience Design Lead • 1TM Responsible for the design strategy and art direction across the 1TM ecosystem, a collaborative networking platform for web2 and web3 creators. Developed strategies to increase user engagement on the platform through the implementation of social networking and gamification features. Designed a team-oriented collaborative system, which
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Shih Chien University
・
媒體傳達設計學系
Sustaining/NPI Engineering Program Manager @鴻海集團-新加坡商鴻運科2022 ~ Present
・
Product Manager/ Program Manager
Within one month
Johnny Lee (Chi-Chuan, Lee) Senior Program Manager New Taipei City, 台灣 Dedicated Senior Program Manager with 10+ Years of Experience Senior Program Manager and Product Manager specializing in China and Taiwan regions. A passionate leader in Project Management and New Product Development of 20 Enterprise Servers with average USD 2M+ budget for each project. Familiar with JDM/ODM/IDM product development include schedule, budget & risk management. Possess Engineering and MBA backgrounds with the adaptability to thrive in a fast-changing environment. Effectively communicate & host meetings in English. Hoping to
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Tsinghua University (北京)清華大學
・
Innovative Business Model
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
崑山科技大學 Kun Shan University
・
資訊傳播科系Senior Front End Developer @Gemini Data Inc.2021 ~ Present
・
Architect, Principal Software Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Tunghai University
・
Computer Science
Firmware Engineer @Lanner Electronics Inc.2021 ~ Present
・
Firmware Engineer, Firmware Developer, Embedded Software Engineer
Within one month
MCU and Linux System, such as the OOB solution(on NUC980), Platform software Package, and FreeRTOS(on STM32) . comprehended to Python, TensorFlow, and machine learning concepts during university studies. Furthermore, I have proven track record of independently tackling challenging technical projects and embracing new technologies. I am passionate about continuous learning and self-improvement, as evidenced by my engagement in OOB solution, FreeRTOS, Yocto Linux kernel and machine learning with Python. None of aforementioned were previously explored within the company at that time. Work Experience Firmware Engineer • Lanner Electronics Inc. JulyPresent | Taipei, Taiwan Majorly
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學（原國立高雄第一科技大學）
・
電子工程Head of Business Development @PT Kece Kreatif Indonesia2023 ~ Present
・
Creative Director/ Senior Multimedia Designer/ Senior Visual Designer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
LSPR Communication and Business Institute
・
Advertising, and Applied Communication
Past
Senior Graphic Designer @Belucky Taipei2020 ~ Present
・
UI/UX 設計師, UI/UX Designer, 網頁設計師,平面設計,graphic design,visual design,視覺設計
Within one month
洪婉菁 Senior graphic designer with +10 years of experience. A passionate team player with creative mind, strong storytelling skills, high proficiency and understanding of UI, color theory , typography , composition , vector artwork , gif animation , photo retouching and video editing. In-depth knowledge of Adobe Creative Suite and UXpin. https://cargocollective.com/lava Taiwan https://cargocollective.com/lava 工作經歷 Senior Graphic Designer • Belucky Taipei 八月Present Remote freelancing during covid19. Web banner, brochure, social media visual content design . Senior Graphic Designer • FriendFinder
Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
Birmingham Institute of Art and Design
・
Visual Communication
Electrical Engineer @PT Krisanthium Offset Printing2022 ~ Present
・
System Maintenance Supervisor/Senior System Engineer
Within one month
Dicky Rachmad Dhermawan Supervisor Electric - Mechanic Maintenance & Repair di PT Krisanthium Offset Printing Surabaya, East Java, Indonesiadicky.rdhermawan@ gmail.com I'm a passionate electrical engineer, a thorough troubleshooter. As an electrical, i've experience more than 8 years. My best experience as a supervisor repair - maintenance for packaging industries who have machine like Heidelberg speed master and Bobst, I like to continue my carrier with new packaging indrustries with a more profesional quality management. Beside that, I like to work in a team and continue to look for experience tobe used as learning
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
SMK TARUNA SURABAYA
・
Teknik instalasi tenaga listrkk
Frontend Developer @Morrison Express Corp.2022 ~ Present
・
Frontend Developer
Within one month
Eason Liu Front-End Developer New Taipei City, Taiwan Focusing on leveraging the most suitable technologies to create user-centric web experiences. Overview - In my previous positions, I have worked with front-end frameworks including Vue 2, Vue 3 and React 16+, demonstrating flexibility in adapting to the development frameworks utilized by different teams, Currently working with React.js in my job. - Carefully consider potential problems and propose solutions or efficiency improvements w hen assigned a project or task. - Passionate about exploring new technologies and tackling new challenges. I diligently address issues and constantly
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
FengChia 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
Employed
Job Search Progress
Open to opportunities
Professions
Data Scientist, Data Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data
Work experience
1-2 years
Management
None
Skills
Languages
English
・
Intermediate
Chinese
・
Native or Bilingual
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
台灣新竹市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Chiao Tung University
Major
Master's Degree, Management Information Systems
About me
I am a graduated student in National Yang Ming Chiao Tung University,Taiwan. My thesis is "Model-Agnostic Training with Sample Selection for Fair and Robust Learning".
I am familiar with deep learning related technologies, including trustworthy AI and computer vision.
In addition, I am also interested and passionate in information technology, including database, cloud, software design and development.
Education
Sep 2021 - Jul 2023
National Yang Ming Chiao Tung University (NYCU)
Master's Degree, Institute Of Information Management
Sep 2017 - Jun 2021
National Taipei University (NTPU)
Bachelor's Degree, Statistics
Sep 2014 - Jun 2017
National Hsinchu Senior High School
Professional Skills
Subjects
- Deep Learning
- Trustworthy AI
- Computer Vision
- Optimization
- Data Mining
- Machine Learning
- Statistical Modeling
- Algorithm
- Cloud Computing
- Database
Skills
- Python, C, C++
- PyTorch, Tensorflow, Keras
- LINUX
- GIT, Bitbucket, Jira
- Airflow, MLflow
- AWS, Azure
- Google Cloud Platform
- BigQuery, GCS
- Composer, Pub/Sub
- Function, Scheduler
Language
- Chinese
- English (TOEIC 720)
AI/ML Related Course Record
Deep Learning
CM, NYCU (交大電信所)
Spring 2022, GRADE: A+
- Implement FNN gradient descent using only python numpy package.
- Establish CNN and ResNet to classify images by PyTorch.
- Establish Transformer to classify news documents by PyTorch, Top 2 accuracy in class .
- Implement VAE and GAN to create anime face by pyTorch.
- Build DQN and Actor-Critc RL model on Lunarlander using PyTorch.
Machine Learning
EE, NYCU (交大電子所) & MTK
Spring 2022, GRADE: A
- Train an image classification model on CIFAR-100 with limited size, 100MB.
- Build ResNet-50 and use SAM Optimizer (2021, Google).
- Achieve almost 83% accuracy.
- Final project is building road image segmentaion model on mediaTek chip.
- Using U-Net and post-training quantization to compress tflite model.
- Achieve 0.735 mIOU, Top 3 in class.
- Using Keras, scikit-learn build ml model such as random forest, xgboost, LSTM... to do sentiment analysis, time series prediction etc.
- Construct Hadoop & Pyspark to compute matrix factorization distributedly.
Work Experience
AI Engineer Intern
MediaTek Inc. (AIDE/AI Team)
Jan 2023 - Jun 2023
Hsinchu City, Taiwan
- Wafer parametric map anomaly auto recognition (Self-Supervised learning).
- Solve wafer map missing value issue by per-pixel mean, global mean method.
- Build wafer map anomaly pattern classifier by PyTorch Lightning and Hydra.
Data Engineer Intern
MediaTek Inc. (AIDE/DE Team)
Jun 2022 - Dec 2022
Hsinchu City, Taiwan
- Supporting AI project in data pipeline and ETL.
- Build statistics and completeness KPI of test item and die in CP、FT、SLT three test stage.
- Using Python Airflow and Big Query、 Google Cloud Storage to establish auto data schedulers.
- Construct loosely-coupled structure by pub/sub service on GCP.
AI/ML Related Competition
2022 TSMC x Microsoft Careerhack
TSMC & Microsoft
Jan 2022
Work: Energy-Efficient Dashboard
The IOT device connects to the home appliance, transmits the collected electricity consumption data to the azure IoT center, and uses python to capture the data in the blob storage to organize the data and present it on the smart dashboard, providing home appliance users with a clearer understanding of home appliances power consumption details and electricity bill trial calculation, so as to achieve smart power consumption and energy saving.
The 6th ETC Traffic Data Competition
MOTC, ROC
Aug 2020
Work: CATS - Clog AlerT System
After using a variety of models to build, the best prediction model for the backlog mileage is obtained, and the influence of different variables on the backlog mileage is explored. By exploring the importance of variables and building models, the possible back-blocking impacts after future national highway accidents can be dealt with more quantitatively and systematically.
2020 NTPU Stats Research Project Competition
NTPU Stats
Jun 2020
Work: P2P Default risk forecast
Using Logistic regression and random forest to construct a default prediction model of P2P online lending platform, the data is obtained from Lending Club, from 2016~2019.
Certifications
TOEIC
720
Apr 2018
Big Data Analyst and Machine Learning Engineer
(Industry Professional Assessment System, IPAS)
Nov 2021, Dec 2022
About me
I am a graduated student in National Yang Ming Chiao Tung University,Taiwan. My thesis is "Model-Agnostic Training with Sample Selection for Fair and Robust Learning".
I am familiar with deep learning related technologies, including trustworthy AI and computer vision.
In addition, I am also interested and passionate in information technology, including database, cloud, software design and development.
Education
Sep 2021 - Jul 2023
National Yang Ming Chiao Tung University (NYCU)
Master's Degree, Institute Of Information Management
Sep 2017 - Jun 2021
National Taipei University (NTPU)
Bachelor's Degree, Statistics
Sep 2014 - Jun 2017
National Hsinchu Senior High School
Professional Skills
Subjects
- Deep Learning
- Trustworthy AI
- Computer Vision
- Optimization
- Data Mining
- Machine Learning
- Statistical Modeling
- Algorithm
- Cloud Computing
- Database
Skills
- Python, C, C++
- PyTorch, Tensorflow, Keras
- LINUX
- GIT, Bitbucket, Jira
- Airflow, MLflow
- AWS, Azure
- Google Cloud Platform
- BigQuery, GCS
- Composer, Pub/Sub
- Function, Scheduler
Language
- Chinese
- English (TOEIC 720)
AI/ML Related Course Record
Deep Learning
CM, NYCU (交大電信所)
Spring 2022, GRADE: A+
- Implement FNN gradient descent using only python numpy package.
- Establish CNN and ResNet to classify images by PyTorch.
- Establish Transformer to classify news documents by PyTorch, Top 2 accuracy in class .
- Implement VAE and GAN to create anime face by pyTorch.
- Build DQN and Actor-Critc RL model on Lunarlander using PyTorch.
Machine Learning
EE, NYCU (交大電子所) & MTK
Spring 2022, GRADE: A
- Train an image classification model on CIFAR-100 with limited size, 100MB.
- Build ResNet-50 and use SAM Optimizer (2021, Google).
- Achieve almost 83% accuracy.
- Final project is building road image segmentaion model on mediaTek chip.
- Using U-Net and post-training quantization to compress tflite model.
- Achieve 0.735 mIOU, Top 3 in class.
- Using Keras, scikit-learn build ml model such as random forest, xgboost, LSTM... to do sentiment analysis, time series prediction etc.
- Construct Hadoop & Pyspark to compute matrix factorization distributedly.
Work Experience
AI Engineer Intern
MediaTek Inc. (AIDE/AI Team)
Jan 2023 - Jun 2023
Hsinchu City, Taiwan
- Wafer parametric map anomaly auto recognition (Self-Supervised learning).
- Solve wafer map missing value issue by per-pixel mean, global mean method.
- Build wafer map anomaly pattern classifier by PyTorch Lightning and Hydra.
Data Engineer Intern
MediaTek Inc. (AIDE/DE Team)
Jun 2022 - Dec 2022
Hsinchu City, Taiwan
- Supporting AI project in data pipeline and ETL.
- Build statistics and completeness KPI of test item and die in CP、FT、SLT three test stage.
- Using Python Airflow and Big Query、 Google Cloud Storage to establish auto data schedulers.
- Construct loosely-coupled structure by pub/sub service on GCP.
AI/ML Related Competition
2022 TSMC x Microsoft Careerhack
TSMC & Microsoft
Jan 2022
Work: Energy-Efficient Dashboard
The IOT device connects to the home appliance, transmits the collected electricity consumption data to the azure IoT center, and uses python to capture the data in the blob storage to organize the data and present it on the smart dashboard, providing home appliance users with a clearer understanding of home appliances power consumption details and electricity bill trial calculation, so as to achieve smart power consumption and energy saving.
The 6th ETC Traffic Data Competition
MOTC, ROC
Aug 2020
Work: CATS - Clog AlerT System
After using a variety of models to build, the best prediction model for the backlog mileage is obtained, and the influence of different variables on the backlog mileage is explored. By exploring the importance of variables and building models, the possible back-blocking impacts after future national highway accidents can be dealt with more quantitatively and systematically.
2020 NTPU Stats Research Project Competition
NTPU Stats
Jun 2020
Work: P2P Default risk forecast
Using Logistic regression and random forest to construct a default prediction model of P2P online lending platform, the data is obtained from Lending Club, from 2016~2019.
Certifications
TOEIC
720
Apr 2018
Big Data Analyst and Machine Learning Engineer
(Industry Professional Assessment System, IPAS)
Nov 2021, Dec 2022