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經理 @鴻博資訊有限公司2015 ~ Sekarang
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Dalam satu bulan
System (MES) System Development Product∶ https://docplayer.net/Ibm-high-tech-mes-solution-view-series.html IBM LCDView IBM SiView IBM EAP Educational Background Kun Shan University ( https://www.ksu.edu.tw/ ) Electrical Engineering •Skills Python AOI MES EAP C++ C# Linux Windows Docker Node.js Node-RED Word Database Language Chinese — Native Language English — Technical Document Listening, Speaking, Reading, Writing Summary of Personal Python Programming Experience I am a developer with extensive experience in Python programming, specializing in the development of AOI (Automatic Optical
Sudah bekerja
・
Siap untuk wawancara
Full-time / Hanya bekerja jarak jauh
10-15 tahun
崑工科技大學
・
電子工程
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Sekarang
・
全端工程師、後端工程師、前端工程師、軟體專案主管、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
Dalam satu bulan
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Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Taiwan Ocean University
・
Computer science and engineering
Past
資深軟體工程師 @Wistron ITS 緯創軟體股份有限公司2022 ~ 2023
・
軟體開發工程師
Dalam satu bulan
訊工程學系 碩士畢Department of Computer Science and Information Engineering 技能 User Experience Customized Application Medical System design Product System Interfacing E-referral system Cashier system Medical Order system HCM Peoplesoft(GP/RC/TL Module) Language Chinese English 專長 語言 C/C++ Cobol SQL(Sybase SQL , MySQL,MongoDB) VB/C# Oracle Peoplesoft Python Tools Github Docker VScode Acubench 自傳 您好，我是池磊，畢業於淡江大學資工系及資訊工程研究所，大
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Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
淡江大學
・
computer science高級軟體工程師 @Ganzin technology2023 ~ Sekarang
・
Unity Developer
Dalam satu bulan
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Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Taipei University of Technology
・
資訊工程學系Data Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ Sekarang
・
Computer Vision / Deep Learning
Dalam satu bulan
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Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
University of Qom
・
Information Technology | Face Recognition
SW R&D @Test Research, Inc.2018 ~ Sekarang
・
R&D Engineer
Dalam satu bulan
JIA-HUA LIU SW R&D New Taipei City, 台灣 I am an SW R&D with 5+ years of experience in Windows desktop application development, specializing in C++/C#. Currently, I am working in the AOI software system department at TRI, where I am responsible for process handling. My primary role involves managing the Shop floor control system. This job requires expertise in the communication standards of various factory equipment and data exchange. Additionally, I am also very familiar with the inspection processes of equipment. Work Experience SW
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Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立台灣科技大學 National Taiwan University of Science and Technology
・
Computer Science and Information Engineering
系統工程師 @筑波醫電2016 ~ Sekarang
・
資深軟體工程師
Dalam satu bulan
任務，兼任PM管理專案，與儀器廠商、醫療從業人員密切合作，確保系統的適宜使用，以降低從業人員的負擔。 程式開發使用以C#為主，C/C++、Swift、JavaScript、HTML5、Python 等會視專案協同編寫。管理工具較常使用Gitea, SourceTree, OpenProject, Trello , Notion, Jenkins進行版本管控、專案管理及持續集
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Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
交通大學
・
生醫工程暨資訊工程研究所
Sr. Backend Developer @芬格國際股份有限公司2022 ~ 2024
・
Backend Developer
Dalam satu bulan
程師 ACTi 建騰創達科技 - Maintain and refactor internal tools for the production line, offering customized testing scripts and enabling simultaneous updates across multiple devices, significantly expediting the process. - Customize offline authentication tools tailored for high-security environments. - Collaborate with the team to develop an interactive standalone player driven by FFmpeg. 學歷國立臺灣海洋大學 National Taiwan Ocean University Computer Science Graph theory 技能 c++ C# Golang Redis MySQL Jenkins Oracle Database java Git Docker Message Broker Microservices 語言 English — 中階
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Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
國立臺灣海洋大學 National Taiwan Ocean University
・
Computer Science
Software Developer @新代科技股份有限公司 Syntec Ltd.2021 ~ Sekarang
・
Software Engineer
Dalam satu bulan
//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,...
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立台灣大學
・
機械工程
Engineer II @SiFive2022 ~ Sekarang
・
Dalam satu bulan
verify the correctness of clocks and hardware IPs Product Engineer SyntecGroup SepFebHsinchu , Taiwan Develop the motion trajectory control on laser cutting and laser marking machines Improve the gap tracking subsystem to control the tooling gap Provide total solutions to clients to build up the highly automated production line Education National Taiwan University Mechanical EngineeringNational Chung Cheng University Mechanical EngineeringSkills Programming Languages: C/C++, C#, Python, Shell Professions: OOP/Design Pattern, CI/CD Integration, Linux Kernel Certifications & Awards Coursera - Data Structures (UC San Deigo, SepCoursera - Algorithms (UC San Deigo, AugExcellent Work - ARM Design Contest (Sep
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Taiwan University
・
Mechanical EngineeringPaket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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Latar Belakang Profesional
Status sekarang
Siswa/Mahasiswa
Tahap pencarian kerja
Profesi
Software Engineer, Python Developer, Machine Learning Engineer
Bidang Pekerjaan
Software, Intelegensi Artifisial/Pemelajaran Mesin, Robotik
Pengalaman Kerja
Kurang dari satu tahun
Management
Tidak ada
Keterampilan
Bahasa
English
・
Profesional
German
・
Fasih
Chinese
・
Bahasa ibu atau Bilingual
Preferensi Pencarian Pekerjaan
Jabatan
Software Engineer
Tipe Pekerjaan
Full-time
Lokasi
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
國立清華大學
Jurusan
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