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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 2023
・
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 month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所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 month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
Past
Senior Firmware Engineer @Artesyn Embedded Technologies2019 ~ 2022
・
韌體工程師/軟體工程師/控制工程師/演算法工程師/
Within one month
Ted Li Senior Firmware Engineer Over 6 years of firmware/software development expertise as a Senior Firmware Engineer, specializing in embedded systems, cross- functional projects, and RL-optimizations. Driving global technical innovations and training. New Taipei City, Taiwan [email protected] https://github.com/armcortex https://www.linkedin.com/in/ted-li/ https://about.armcortex.cc/ Skill Programming C/C++ Python Bash SQL AI (PyTorch, TensorFlow, Keras) Tool RTOS Embedded System Git Docker/Docker Compose
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
日本電氣通信大學 The University of Electro-Communications (UEC)
・
Robotics Engineering
DevSecOps工程師 @巨展數位科技2023 ~ Present
・
架構師、技術主管、DevOps(DevSecOps,DataOps,MLOps)
Within one month
Delivery ,CD)進而將軟體開發過程的活動透過自動化導入更能夠以敏捷完成。因而目前研究主題除原機器學習中的監督學習（Supervised learning）、非監督學習（unsupervised learning）、半監督學習（Semi-supervised learning）、強化學習（Reinforcement learning）。另外機器學習相關軟體工程中的DataOps與MLOps感到興趣。在持續訓練(Continuous training
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
淡江大學-資訊工程所-博士班
・
資訊工程所
AI應用工程師 @碁仕科技2018 ~ Present
・
軟體工程師
Within one month
Ivan Lee 李逸帆 Master of Computer Science Hsinchu, Taiwan Research and develop algorithms in my company. Cooperate with domestic and foreign manufacturers to use AI technology to solve problems that traditional algorithms cannot overcome. Completed or ongoing projects include defect detection, text recognition (OCR), airplane detection, random bin picking, bottle inspection, point cloud image cutting, and robotic arm grasping by reinforcement learning. Cellphone:Gmail: [email protected] Personal Web: https://www.ivan-lee.me/ Blog: https://medium.com/change-the-world-with-technology Work
Studying
Intern / Interested in working remotely
4-6 years
長榮大學
・
企管系
大數據資料工程師、演算法工程師
Within two months
升0.3mAP的效能。以下為我的優勢能力: 資料科學的研究開發能力: 研發演算法來符合產品的資源限制以及控制頻率。利用Reinforcement Learning改善最新的transformer-based物件偵測模型，能夠結合多種不同種類的機器學習種類。 深度學習與應用場域的知識: 物件偵測、物件
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
人工智慧
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ Present
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
Within two months
Cybersecurity for Space Systems project - project leader of collaborative project with Thales Alenia Space, Rhea Groupe France, Centre National d'Etudes Spatiales, Ecole de l'Air et de l'Espace, Laboratoire d'Analyse et d'Architecture des Systèmes - driving AI work package research on anomaly detection, Natural Langage Processing, Explainability, Reinforcement Learning, Large Langage Models, applied to cybersecurity - Business Development : built relationships and projects pipeline with with major healthcare institutions (CHU Toulouse, Oncopole) and research institutes (LAAS, Institut Mathématiques Toulouse) Entrepreneur • EGBP ( JuneAprilCreated and developed a small business in construction engineering Business Leader • General Electric, Veolia, Vinci, MBDA, Philips ( SeptemberMayRan
Employed
Full-time / Interested in working remotely
6-10 years
Télécom Paris
・
Cybersecurity
工程師 @永豐金證券2018 ~ Present
・
Python Developer, Rust Developer, BigData Engineer
Within one year
式設計(generative-design)與算圖工作。 Education 國立東華大學 藝術創意產業學系Skills Python Numpy / Pandas / Polars Celery FastAPI Visualization Rust Tauri Poem Tokio Polars CICD Docker Docker-compose K8S Gitlab CI Github Action Deep Learning CNN / RNN / GNN Reinforcement Learning Tensorflow Pytorch Keras Other Language Rust javascript Swift C / C++ Dart Design Photoshop illustrator After Effects Cinema 4D 3D Modeling / Rendering Generative Design Side Project TradingGym more 這個專案啟發於openai的gym，gym
Employed
Full-time / Interested in working remotely
4-6 years
國立東華大學 | National Dong Hwa University
・
Arts and Creative IndustriesFull-time / Not interested in working remotely
6-10 years
交通大學
・
資訊工程
AI 工程師 @台灣塑膠工業股份有限公司2020 ~ 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 six months
Google Cloud GPU Google Cloud VM Google Cloud AutoML Google Cloud Vision API Other Cloud Source Heroku App Service Line Bot ML/AI AI Tool TesnsorFlow SKlearn Keras Matlab OpenCV Algorithm Principal Component Analysis Partial Least Squares Gaussian Process Deep Neural Networks Convolutional Neural Networks Genetic Algorithm Other Application Reinforcement Learning Object Detection Faster RCNN Yolo v3 Generative Adversarial Networks Experience 台灣塑膠工業(FPC) - AI Engineer - Sept~ present 1. AI應用 - 工廠製程之品質軟測量(Soft Sensors)模型建立 2. AI應用 - 製
Employed
Full-time / Interested in working remotely
4-6 years
Chung Yuan Christian University
・
Master in Chemical EngineeringThe Most Lightweight and Effective Recruiting Plan
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Toh Jing Kai
I am a data driven person, a fast learner and I believe best idea wins. After graduating from Department of Mathematical Science, National Chengchi University (NCCU), I served as a research assistant in Institute of Information Science (IIS) of Academia Sinica. I also had served as an Algorithm Engineer in Zero Zero Robotics. Currently, I am working as a Lead Artificial Intelligence Engineer in WISE AI. I wonder how data and artificial intelligence would change human life and I hope I can work with brilliant people!
Nationality: Malaysian
Location: Selangor, Malaysia
Experience
WISE AI, August 2019 - Present
Lead AI Engineer
- Lead the R&D for AI Models that are relevant to eKYC product such as Face Anti-Spoofing, 1:1 Face Recognition, Identity Document Fraud Detection and Optical Character Recognition.
- Benchmark AI model in terms of accuracy and efficiency.
- Design, implement and deploy AI model deployment via RESTful API framework, message queue and docker.
- Establish and implement needed IT infra for AI, for instance, annotation tool, data collection application, training pipeline and deployment stress test script.
- Lead and mentor team member, protect interest of their development and drive them to contribute for the company
- Pioneered WISE AI's achievement as the first company in Malaysia to pass iBeta testing of ISO 30107 Level 1 for presentation attack detection, attaining compliance for Face Anti-Spoofing.
- Oversee the maintenance, bug fixing and development of the SaaS and On-Premise ekyc solutions that including mobile SDKs (Web, Android, iOS), Java backend and database with limited resources.
- Undertook the comprehensive reconstruction of the Software Engineering team following the dismissal of the original members, growing the team size from zero to four members with ongoing plans for further expansion
- Lead and implement the R&D of on device AI model inference with ONNX
Zero Zero Robotics, May 2018 - June 2019
AIgorithm Engineer
- Researched visual tracking algorithm.
- Monocular depth estimation on human.
- Human orientation estimation.
- Deployed algorithms in snapdragon chipset.
Taiwan AI Academy, Feb 2018 - April 2018
(Transfer from DIRL to Taiwan AI Academy by superior.)
Data Scientist | Teaching Assistant
- Teaching material design, mostly involved in the following sections
- R programming language
- Reinforcement Learning
- Computer Vision
- Helped our corporation partners such as FPG, Chang Chun Group, BRCAS, etc. to define and model AI problems.
- Provided programming and modeling guidance to AI Academy's students.
- R programming language
- Reinforcement Learning
- Computer Vision
DIRL in IIS, July 2016 - Jan 2018
Research Assistant | Data Scientist
- Modeled parameter optimization for manufacturing process.
- Developed an object tracking software for biological experiments. (Involved data collection, training model and inference for real application)
- Established customer analysis by combining transaction records with open data.
- Analysed and built predictive model for purchasing behavior from transaction data that over 100 million records.
Education
Department of Mathematical Science, National Chengchi University, Sep 2012 - June 2016
Muar Chung Hwa High School, Jan 2006 - Nov 2011
Skills
I always learn by self-study.
Python
Sep, 2014 - Present
- All foundation skills for data analysis.
- Good at data manipulation and data visualization.
- Good with image processing by OpenCV.
- Familiar with deploying scripts to executable files by cx_Freeze.
C++
May, 2018 - Present
- Familiar enough to implement algorithms in production.
- Familiar with OpenCV
- Familiar with CMake.
- Familiar with message queue framework such as ZeroMQ/RabbitMQ
Java
April, 2023 - Present
- Orchestrated the deployment utilizing Tomcat and Spring Boot frameworks.
- Conducted troubleshooting and debugging activities
- Implemented a data migration to object storage service which saves around RM 8,000 per month
Other
- Linux commands and bash script
- Docker and docker-compose
- Git
- Webserver basic setup by Apache and Nginx
- Database such as MySQL, PostgresSQL
- Cloud instance setup and basic network security setup in AWS, Alicloud, Azure, GCP
Toh Jing Kai
I am a data driven person, a fast learner and I believe best idea wins. After graduating from Department of Mathematical Science, National Chengchi University (NCCU), I served as a research assistant in Institute of Information Science (IIS) of Academia Sinica. I also had served as an Algorithm Engineer in Zero Zero Robotics. Currently, I am working as a Lead Artificial Intelligence Engineer in WISE AI. I wonder how data and artificial intelligence would change human life and I hope I can work with brilliant people!
Nationality: Malaysian
Location: Selangor, Malaysia
Experience
WISE AI, August 2019 - Present
Lead AI Engineer
- Lead the R&D for AI Models that are relevant to eKYC product such as Face Anti-Spoofing, 1:1 Face Recognition, Identity Document Fraud Detection and Optical Character Recognition.
- Benchmark AI model in terms of accuracy and efficiency.
- Design, implement and deploy AI model deployment via RESTful API framework, message queue and docker.
- Establish and implement needed IT infra for AI, for instance, annotation tool, data collection application, training pipeline and deployment stress test script.
- Lead and mentor team member, protect interest of their development and drive them to contribute for the company
- Pioneered WISE AI's achievement as the first company in Malaysia to pass iBeta testing of ISO 30107 Level 1 for presentation attack detection, attaining compliance for Face Anti-Spoofing.
- Oversee the maintenance, bug fixing and development of the SaaS and On-Premise ekyc solutions that including mobile SDKs (Web, Android, iOS), Java backend and database with limited resources.
- Undertook the comprehensive reconstruction of the Software Engineering team following the dismissal of the original members, growing the team size from zero to four members with ongoing plans for further expansion
- Lead and implement the R&D of on device AI model inference with ONNX
Zero Zero Robotics, May 2018 - June 2019
AIgorithm Engineer
- Researched visual tracking algorithm.
- Monocular depth estimation on human.
- Human orientation estimation.
- Deployed algorithms in snapdragon chipset.
Taiwan AI Academy, Feb 2018 - April 2018
(Transfer from DIRL to Taiwan AI Academy by superior.)
Data Scientist | Teaching Assistant
- Teaching material design, mostly involved in the following sections
- R programming language
- Reinforcement Learning
- Computer Vision
- Helped our corporation partners such as FPG, Chang Chun Group, BRCAS, etc. to define and model AI problems.
- Provided programming and modeling guidance to AI Academy's students.
- R programming language
- Reinforcement Learning
- Computer Vision
DIRL in IIS, July 2016 - Jan 2018
Research Assistant | Data Scientist
- Modeled parameter optimization for manufacturing process.
- Developed an object tracking software for biological experiments. (Involved data collection, training model and inference for real application)
- Established customer analysis by combining transaction records with open data.
- Analysed and built predictive model for purchasing behavior from transaction data that over 100 million records.
Education
Department of Mathematical Science, National Chengchi University, Sep 2012 - June 2016
Muar Chung Hwa High School, Jan 2006 - Nov 2011
Skills
I always learn by self-study.
Python
Sep, 2014 - Present
- All foundation skills for data analysis.
- Good at data manipulation and data visualization.
- Good with image processing by OpenCV.
- Familiar with deploying scripts to executable files by cx_Freeze.
C++
May, 2018 - Present
- Familiar enough to implement algorithms in production.
- Familiar with OpenCV
- Familiar with CMake.
- Familiar with message queue framework such as ZeroMQ/RabbitMQ
Java
April, 2023 - Present
- Orchestrated the deployment utilizing Tomcat and Spring Boot frameworks.
- Conducted troubleshooting and debugging activities
- Implemented a data migration to object storage service which saves around RM 8,000 per month
Other
- Linux commands and bash script
- Docker and docker-compose
- Git
- Webserver basic setup by Apache and Nginx
- Database such as MySQL, PostgresSQL
- Cloud instance setup and basic network security setup in AWS, Alicloud, Azure, GCP