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4-6 years
6-10 years
10-15 years
More than 15 years
Software engineer
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 Engineering
Software Developer @新代科技股份有限公司 Syntec Ltd.2021 ~ Present
・
Software Engineer
Within one month
//www.tapology.com/fightcenter/fighters/min-hsien-lee Fight Highlights: https://youtu.be/E6Tm3tfhg2I Education National Taiwan University Master's Degree in Mechanical Engineering Bachelor's Degree in Mechanical Engineering 2016~~2016 Projects Panel Saw: https://www.cakeresume.com/portfolios/panel-saw CNC Process Path Planner: https://www.cakeresume.com/portfolios/cnc-process-path-planner Skills Programming: C, C++, C#, Verilog Tools & Frameworks: Git, SVN, Visual Studio Skills: Data Structures, Algorithms,...
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
機械工程Past
Software Engineer @慧思科研股份有限公司2022 ~ 2022
・
Software Engineer
More than one year
Unemployed
Full-time / Interested in working remotely
6-10 years
中原大學 Chung Yuan Christian University
・
資訊工程學系軟體工程師 @陞泰科技2011 ~ 2019
・
software engineer
More than one year
許軍斌 覺得寫程式很有趣 software engineer Taipei Special Municipality，TW oven425@hotmail.com 工作經歷 陞泰科技, 軟體工程師, Sep 2011 ~ 現在 使用WPF開發windows應用程式,搭配C\C++操作底層的API PC base Video Recorder 1. rtsp protocol交握與接收 2.提供高擴展性的錄影架構 3. 提供匯出avi mp4 mkv的檔案格
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
國立勤益科技大學
・
電機工程
Engineer @Trend Micro 趨勢科技2021 ~ Present
・
Software Engineer
Within two months
白紋愷 Kevin Bai Graduated from National Chengchi University. Major in computer science. I currently serve as an Engineer at Trend Micro. Mainly use skills now: C++ Backend engineer Taipei, TW kevinbai.1017@gmail.com Skills Programming Language C/C++ JAVA Tools Visual Studio Git Windows / Linux Database SQL Server Work Experience Trend Micro, Engineer, Oct 2021 ~ Resolved Product Issue: Handled product issues when users reported their concerns about the product. Found the root cause and provided the solution to the end user to make sure
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
Computer Science
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ Present
・
Software Engineer
Within one month
/EC2 - Tensorflow/Keras/OpenCV/openVINO Platform Engineer Intern • Intel 二月六月Survey internal paper and develop the internal script for Xeon SP testing platform - FPGA, OpenCL deep learning and machine learning research - Develop an internal Demo application for deep learning usage with Qt/C++ - Hands-on some internal project management of Xeon customer platform enabling 學歷Nation Taiwan University Bioelectronic and BioinformaticsNational Taiwan University Clinical Laboratory Science and Medical Biotechnology 資格認證 Professional Machine Learning Engineer Google九月 2024 到期 TOEIC 900 TOEIC 發照日
Employed
Full-time / Interested in working remotely
4-6 years
Nation Taiwan University
・
Bioelectronic and Bioinformatics
Senior Software Development Enginner @Sotera Wireless Inc.2023 ~ Present
・
Software Engineer
Within one month
SeptemberAugustAOI system development 2. Deep learning development for object-detection and pattern-matching 3. Human-machine interface development for automatic defect-detection machines 4. Skin quality tester algorithm and system development EducationNTUST Master - Graduate Institute of Automation And ControlNCHU Bachelor - Department of Electrical Engineering Skills Programming Language C/C++ Python HTML/JS/CSS SQL PHP JAVA GUI QT MFC Tools&Framework AWS Web Django Laravel WordPress Git IDE VS code VS C++ Intelli Operation System Windows HyperV WSL Linux/Unix Ubuntu Respbian Redhat SUSE MacOS Management Jira/Confluence
Employed
Part-time / Interested in working remotely
6-10 years
NTUST
・
Graduate Institute of Automation And Control
Software Engineer
Within six months
Tycho Lin 目前熟悉的程式語言是 C/C++/Python，使用過 JUCE Framework 開發出 Metronome & Overdrive/Echo/Autowah/BitCrushing/Compressor/PitchShifting plug-ins。 熟悉 Django 開發網站的流程。透過 http://eloquentjavascript.net/ 自學過 Javascript，當時看的是第一版，現在已經到第三版了，練習成果可以參考下面的連結。 https://codepen.io
Employed
Full-time / Interested in working remotely
6-10 years
輔仁大學
・
電子工程（現在已改名成電機工程）Employed
Full-time / Interested in working remotely
10-15 years
Engineer @Qualcomm2023 ~ Present
・
Software Engineer
Within one month
new requests were reported from FAE and dealt with the new requests via cooperating with Brazil engineers and Taipei front-end engineers. EXPERIENCE Software R&D engineer, Network engineer Cable Modem Router, SERCOMM Corporation. AprJulyEngineered router and bridge products with OpenEmbedded, Yocto. Engineered cable modem applications with C and modified some JavaScript and XML. Built customized WebUI. (JavaScript and XML) Developed networking features. (e.g. Firewall, DHCP, DNS, WiFi Mode and WiFi BandSteering) Developed on Intel and Broadband platform (RDK-B and TR-69) Built software on linux-based operating systems and
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
・
Master of Biomedical 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
Studying
Job Search Progress
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Software, Artificial Intelligence / Machine Learning, Robotics
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Professional
German
・
Fluent
Chinese
・
Native or Bilingual
Job search preferences
Positions
Software Engineer
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Remote
Interested in working remotely
Freelance
No
Educations
School
國立清華大學
Major
資訊應用研究所
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios