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4-6 years
6-10 years
10-15 years
More than 15 years
National Taiwan University
Senior Medical Technologist of NGS Lab @Stork Fertility Center2014 ~ 2018
・
RD
Within two months
Accreditation Foundation (TAF) Lab Director, Auditor LDTs Medical Lab Taiwan Genomics and Genetics Society (TGGS) Technologist, Reporting and Issuing Int Medical Technologist American Society for Clinical Pathology (ASCP) Medical Technologist (ASCPi) Education National Taiwan University, Graduate institute of clinical medicine Doctor of Philosophy • FebMar 2024 Research Topic: Mitochondria, Regression models, Machine learning New South Wales University (Australia), Graduate school of biomedical engineering Master exchange • JunJun 2011 Research Topic: Perlecan purification and analysis (Human colorectal cance model) National Taiwan University, Graduate institute of Clinical Laboratory Master of Medical technology •Research Topic: Acute leukemia, Erythroblastosis, Telomeres National Taiwan University, Clinical Laboratory and
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
National Taiwan University
・
canditate, Graduate institute of Clinical medicine
Principal Engineer, Data Engineering @KKCompany2023 ~ Present
・
Backend Engineer, Data Engineer, MLOps Engineer
Within one month
Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
EMBA Programs, Business Administration, Accounting, Finance and International Business.
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
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
Within three months
Docker Doxygen Swig (API for python from C++) OpenCV OpenCL Linux Skill multi-threads distributed computing serialization/deserialization CICD data version control (DVC) MLOps Image Processing PCA Interactive Segmentation Connected Component Image Stitching Direct Linear Transformation Kalman Filter (Tracking) SIFT Hough HoG Image Deblurring Depth Estimation ISP Machine Learning Framework Transformation Data Augmentation Transfer Learning Model Pruning Model Quantization Performance Evaluation Parameter Fine-tuning Model : SVM, LeNet, AlexNet, VGG, GoogLeNet, SSD, YOLO, MobileNet, ShuffleNet, FaceNet, Xception, MatrixNet, CenterNet, CSPNet, M2Det, EfficientNet/Det Projects HPC Keyword Spotting Automatic Speech Recognition Distributed Inference System Social Distancing Estimation (Lidar
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Communication Engineering
Research Assistant of National Taiwan University @National Taiwan University2023 ~ Present
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Graduate research assistant
Within six months
YEN-TING CHEN (陳彥廷) I am a graduate student in the Department of Psychology at National Taiwan University ( NTU). For me, diving into psychometrics and exploring data with reasonable statistical method is to clarify a new world of understanding people around us. Whether it's a quirky little issue or a big, serious one, I've got curiosity and grabbed my attention to figure out problems using the tools or theories of psychometrics and data analysis . Right now, I am turning curiosity into discoveries in the wild world of Psychology and All kinds of Data
Studying
Part-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychometrics (Division of Psychology), Methodology (Division of Psychology)
Software Engineer @CakeResume2022 ~ Present
・
Software Engineer
Within one month
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
Reputation Credits1
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Computer Science and Information Engineering
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ Present
・
Machine Learning Researcher / Engineer
Within one month
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Graduate Institute of Communication Engineering
NAND Mechanism RD, Machine Learning Engineer @PHISON2015 ~ Present
・
Machine Learning Engineer / Data Science Engineer
More than one year
Full-time / Interested in working remotely
6-10 years
NATIONAL TAIWAN UNIVERSITY
・
Physics MasterPast
AI Project Coordinator @TSMC2020 ~ Present
・
雲端工程師，雲端架構師
More than one year
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Industrial EngineeringFull-time / Interested in working remotely
6-10 years
National Taiwan University
・
Master Applied PhysicsThe 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
Machine Learning Engineer, Trader, Software Engineer
Fields of Employment
Venture Capital & Private Equity
Work experience
2-4 years
Management
I've had experience in managing 1-5 people
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Fluent
Job search preferences
Positions
Data Scientist/Quantitative Researchers & Traders
Job types
Full-time
Locations
Taipei, Taiwan
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Computer Science and Information Engineering
Wei-Lun, LUO
Research Assistant
Taipei City, Taiwan
Work Experience
Research Assistant • Research Center for Information Technology Innovation, Academia Sinica
九月 2020 - Present
Multiperiod Corporate Default Prediction
- Provide a consistent term structure of cumulative default probabilities through a carefully designed neural network.
- Tailor neural networks through economic domain knowledge to prevent our model from overfitting.
- Outperform the state-of-art statistical model on AR(10%) and RMSE (20%) for US public companies from 1990-2017.
- Part of this work was published at the 2022 SIAM International Conference on Data Mining (SDM).
Importance Sampling in Reinforcement Learning
- Implement Approximate Bayesian Computation(ABC) algorithm on Multi Armed Bandits (MAB) problems for faster computation.
Team leader, Recommendation Algorithms for KKStream
- Collaborate with team members and others from KKStream to construct a knowledge graph for items to improve performance.
Intern • E.SUN BANK
七月 2019 - 二月 2020
- Developed a trading platform with functions of optimization algorithms.
- Implemented reinforcement learning to solve backward stochastic differential equations.
- Designed an introduction lecture about reinforcement learning for a research group in the company (about 15 persons).
- Applied machine learning approaches to Forex forecasting.
Quantitative trader • Bincentive Inc, Taiwan
八月 2018 - 四月 2019
- Developed trading strategies on cryptocurrency markets.
- Crawled cryptocurrency markets data from different exchanges.
- Developed a part of trading API.
Quantitative Trader • Fuheng International Investment
七月 2013 - 一月 2016
Developed over 20 rule-based trading strategies on TX and Forex and evaluated each strategy in return over maximum drawdown.
Education
2018 - 2020
National Taiwan University
Computer Science and Information Engineering
Thesis: Risk-based Reward Shaping Reinforcement Learning for Optimal Trading Execution
Courses:
- artificial intelligence-related courses (e.g., machine learning, deep learning)
- courses about machine learning-based applications in finance
2012 - 2016
National Chengchi University
Money and Banking
Awards
- Kaggle Expert
- Intel & MobileODT Cervical Cancer Screening, bronze metal, 2017
- Santander Value Prediction Challenge, bronze metal, 2018
- IEEE, The 2018 Vechicular Networking Conference, App Contest Award - First Prize
- Bó Lè Associates, AIxCSR, 2nd, 2018
Publication
- Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chung Duan, Chuan-Ju Wang. ”Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.” Proceedings of the 2022 SIAM International Conference on Data Mining (SDM).
Project
- Hand detection through mediapipe
- Industrial application: Ensure each production worker follows a standard process through detected hands' positions via mediapipe.
- Medical application: automatically detect each finger angle.
Skills
Programming
- Python
- Powerlanguage
Language
- Chinese (native)
- English
Wei-Lun, LUO
Research Assistant
Taipei City, Taiwan
Work Experience
Research Assistant • Research Center for Information Technology Innovation, Academia Sinica
九月 2020 - Present
Multiperiod Corporate Default Prediction
- Provide a consistent term structure of cumulative default probabilities through a carefully designed neural network.
- Tailor neural networks through economic domain knowledge to prevent our model from overfitting.
- Outperform the state-of-art statistical model on AR(10%) and RMSE (20%) for US public companies from 1990-2017.
- Part of this work was published at the 2022 SIAM International Conference on Data Mining (SDM).
Importance Sampling in Reinforcement Learning
- Implement Approximate Bayesian Computation(ABC) algorithm on Multi Armed Bandits (MAB) problems for faster computation.
Team leader, Recommendation Algorithms for KKStream
- Collaborate with team members and others from KKStream to construct a knowledge graph for items to improve performance.
Intern • E.SUN BANK
七月 2019 - 二月 2020
- Developed a trading platform with functions of optimization algorithms.
- Implemented reinforcement learning to solve backward stochastic differential equations.
- Designed an introduction lecture about reinforcement learning for a research group in the company (about 15 persons).
- Applied machine learning approaches to Forex forecasting.
Quantitative trader • Bincentive Inc, Taiwan
八月 2018 - 四月 2019
- Developed trading strategies on cryptocurrency markets.
- Crawled cryptocurrency markets data from different exchanges.
- Developed a part of trading API.
Quantitative Trader • Fuheng International Investment
七月 2013 - 一月 2016
Developed over 20 rule-based trading strategies on TX and Forex and evaluated each strategy in return over maximum drawdown.
Education
2018 - 2020
National Taiwan University
Computer Science and Information Engineering
Thesis: Risk-based Reward Shaping Reinforcement Learning for Optimal Trading Execution
Courses:
- artificial intelligence-related courses (e.g., machine learning, deep learning)
- courses about machine learning-based applications in finance
2012 - 2016
National Chengchi University
Money and Banking
Awards
- Kaggle Expert
- Intel & MobileODT Cervical Cancer Screening, bronze metal, 2017
- Santander Value Prediction Challenge, bronze metal, 2018
- IEEE, The 2018 Vechicular Networking Conference, App Contest Award - First Prize
- Bó Lè Associates, AIxCSR, 2nd, 2018
Publication
- Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chung Duan, Chuan-Ju Wang. ”Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.” Proceedings of the 2022 SIAM International Conference on Data Mining (SDM).
Project
- Hand detection through mediapipe
- Industrial application: Ensure each production worker follows a standard process through detected hands' positions via mediapipe.
- Medical application: automatically detect each finger angle.
Skills
Programming
- Python
- Powerlanguage
Language
- Chinese (native)
- English