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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
李慕全(MuChuan Li) 畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
・
資訊工程
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
識 - 自動辨識試片有無檢體、PH試紙有無使用 - 儀器晃動偵測 技能 - Python(4年) - Data Analysis - Business Analyst - Recommend System - Tableau - Bigquery - DL/ML/RL - MongoDB - Neo4j - Geometrics of Deep Learning - Software Develop - Computer vision 學歷 中國醫藥大學(China Medical University), 碩士學位, 臨床醫學研究所, 2012 ~ 2017 中國醫藥大學(China Medical University), 學士學位, 生物醫學影像暨放射科學
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
Past
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
陳勤霖 神經工程博士背景的數據分析師 Ph.D. in Neuroscience from Neuroengineering lab I have 5 years of hands-on experience in image and data analysis with biotechnology innovation projects. Dependable ability in managing collaborative projects to success. Business-driven motivation to apply analytic skills to optimize the product and its development procedure. https://chinlinchen1312.wixsite.com/chin-lin-chen 工作經歷 一月十二月 2023 博士後研究員 洛桑大
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
・
神經科學
技術部門經理 @沛鑫包裝科技2018 ~ Present
・
R & D technologist/program manager
Within one month
曾文鍾 研發主管 | 專注於工業自動化與智慧製造領域的技術變革 新竹，TW • [email protected] 摘要 具有豐富現場實務經驗的 研發主管 ，專注於 工業自動化與智慧製造 領域，著墨於電腦視覺與深度學習。在過去的工作中，成功領導多個創新專案，通過
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中興大學
・
機械
AI Engineer @Playsee2022 ~ Present
・
資料分析師、資料科學家、產品經理
Within one month
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
・
心理所（認知科學所）
Team Lead @工業技術研究院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 two months
示獎present 軟體工程師 • 工業技術研究院 (ITRI) 影像AI感測技術 應用領域: 自駕車 / 駕駛輔助系統 / 其他感知應用 研發領域: Image processing, Computer vision, Deep learning 平台工具: 程式語言: C++, Python 作業系統: Ubuntu 版本管控: git 機器人通訊API: ROS 電腦視覺API: OpenCV, Yolo, Nvidia TensorRT 工作內容: 技術研發
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
・
資訊工程學所
Computer Vision Engineer @Academia Sinica2015 ~ Present
・
Computer Vision Engineer
Within three months
Ready to interview
Full-time / Interested in working remotely
6-10 years
LUNGHWA university
・
Master of Science
Algorithm Research & Development @TG3D Studio2021 ~ Present
・
Software Engineer
Within one month
Patrick Hsu Software Engineer Having worked as a project engineer for three years in Acer Inc, mainly being responsible for independent development of AI models. A strategic thinker and a team player, therefore adept in solving problems effectively by individual as well as team work. Certified in engineering, passionate about AI and seeking a position in relevant field. | New Taipei City, [email protected] Education National Taiwan University Sep 2015 – June 2017 Master of Engineering in Department of Bio-mechatronics Engineering Master's Thesis: An Evaluation Approach for Photovoltaic System Operation: Fault Detection and Diagnosi
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所Director of software R&D department @Phrozen Inc.2024 ~ Present
・
Software Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Georgia Institute of Technology
・
Doctor of Philosophy in Structural EngineeringData Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ Present
・
Computer Vision / Deep Learning
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
・
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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
Software Engineer, Firmware Engineering, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Software
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
Firmware Engineer, Software Engineer, AI Engineer
Job types
Full-time
Locations
台灣台北, 台灣新北市, 台灣桃園
Remote
Interested in working remotely
Freelance
Educations
School
國立台灣大學
Major
生物機電所
Education
National Central University, Electrical Engineering(2015.09 ~ 2019.07)
National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)
Skill
Programming
- Python
- C
- C ++
- Verilog
Machine learning
- Pytorch
- Tensorflow
- Keras
Backend and Database
- Django
- MySQL
Others
- Git
- Linux
Correlated curriculum
Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System
Computer Organization, Digital Systems Design, Digital Signal processor
Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,
Work experience
Algorithm Engineer • Gomore
Feb 2023 - Jul 2023
- Analyzing physiological signals(PPG) and implement physiological algorithms.
- Using C language to implement to wearable devices.
- Validation the modules in the group.
Database and Backend Engineer PT • MISSMI INTELLIGENCE
Sep 2021 - Jan 2022
- Bioinformatics data integration and presentation
- Backend API developm to APP
Teaching Assistant • National Taiwan University
Feb 2021 - Jul 2021
- Electronics and Laboratory
- Integrate course information
- Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
- Homework problem solving, following class to solve classmates' problems
July 2021 - Sep 2021
- Bioinformatics algorithm
- Designed assignments related to bioinformatics information.
- Integrate course information
- Assist in classroom report submission content evaluation
:Thesis title：Using deep learning to predict T-cell receptors binding specificity
- Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
- Compared to existing paper, we have higher accuracy and faster inference.
Project Experience
Python, Pytorch
Skull fracture detection ( Faster R-CNN ):
- This project works with Inventec in Deep Learning for Computer Vision
- Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
- We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.
Python, Django
Costco notice of goods
- Design a crawler to notify the customer when the item in stock.
- Using Django to build a Linebot
Web backend API Design
Verilog
- Single Cycle implementation
Other Projects
C++
- Greedy snake design
Verilog
- Gobang in FPGA
- Single Cycle implementation
Python
- Data structure algorithm implementation
- Image processing implementation
Pytorch
- Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
- Sequence to Sequence( Transformer, BERT )
- Semantic segmentation ( FCN, U-net)
- Face and Digit Generation ( SC-GAN)
- Lunar Lander Game ( Reinforcement Learning )
- Skull fracture detection ( Faster R-CNN )
Django
- Web backend API Design
- Costco notice of goods
Linux
- Simple shell script design and server administration
Education
National Central University, Electrical Engineering(2015.09 ~ 2019.07)
National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)
Skill
Programming
- Python
- C
- C ++
- Verilog
Machine learning
- Pytorch
- Tensorflow
- Keras
Backend and Database
- Django
- MySQL
Others
- Git
- Linux
Correlated curriculum
Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System
Computer Organization, Digital Systems Design, Digital Signal processor
Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,
Work experience
Algorithm Engineer • Gomore
Feb 2023 - Jul 2023
- Analyzing physiological signals(PPG) and implement physiological algorithms.
- Using C language to implement to wearable devices.
- Validation the modules in the group.
Database and Backend Engineer PT • MISSMI INTELLIGENCE
Sep 2021 - Jan 2022
- Bioinformatics data integration and presentation
- Backend API developm to APP
Teaching Assistant • National Taiwan University
Feb 2021 - Jul 2021
- Electronics and Laboratory
- Integrate course information
- Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
- Homework problem solving, following class to solve classmates' problems
July 2021 - Sep 2021
- Bioinformatics algorithm
- Designed assignments related to bioinformatics information.
- Integrate course information
- Assist in classroom report submission content evaluation
:Thesis title：Using deep learning to predict T-cell receptors binding specificity
- Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
- Compared to existing paper, we have higher accuracy and faster inference.
Project Experience
Python, Pytorch
Skull fracture detection ( Faster R-CNN ):
- This project works with Inventec in Deep Learning for Computer Vision
- Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
- We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.
Python, Django
Costco notice of goods
- Design a crawler to notify the customer when the item in stock.
- Using Django to build a Linebot
Web backend API Design
Verilog
- Single Cycle implementation
Other Projects
C++
- Greedy snake design
Verilog
- Gobang in FPGA
- Single Cycle implementation
Python
- Data structure algorithm implementation
- Image processing implementation
Pytorch
- Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
- Sequence to Sequence( Transformer, BERT )
- Semantic segmentation ( FCN, U-net)
- Face and Digit Generation ( SC-GAN)
- Lunar Lander Game ( Reinforcement Learning )
- Skull fracture detection ( Faster R-CNN )
Django
- Web backend API Design
- Costco notice of goods
Linux
- Simple shell script design and server administration