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On
4-6 tahun
6-10 tahun
10-15 tahun
Lebih dari 15 tahun
Taipei City, Taiwan
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
逢甲大學 Feng Chia University
・
資訊工程學系研究所
Past
工程師 @博彥科技有限公司2018 ~ 2023
・
後端工程師
Dalam satu bulan
程，讓外籍員工也能輕易上手 巡檢系統 簡化巡檢相關流程，降低人工疏失造成風險 學歷 龍華科技大學 資訊網路工程 •Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. 技能 C、C++、golang lua、linux shell script mysql、postgresql、redis linux aws、docker、jenkis rabbitmq http、mqtt、grpc i2c、uart、spi 語言 English — 中階
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
龍華科技大學
・
資訊網路工程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
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Taiwan Ocean University
・
Computer science and engineering
Sr. Full Stack Engineer @類神經網路股份有限公司2021 ~ Sekarang
・
資深程式設計師
Dalam satu bulan
Ryan Shen Sr. Fullstack Engineer Taipei City, Taiwan Hi, I'm Ryan! I'm working as a web developer and I have 6 years of working experience as an engineer. I specialize in web development, code maintainability, and fundamentals of programming languages. [email protected] Work Experience Sr. Full Stack Engineer • 類神經網路股份有限公司 SepPresent Angular/Node.js/TypeScript/ Flutter /Docker/Firebase/MySQL/GCP 1. Built and maintained website management consoles in Angular to help shop owners
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information Engineering
產品專案經理/全端工程師 @FITI Foxsemicon (Foxconn Technology Group)2018 ~ Sekarang
・
Maker
Dalam satu bulan
Brad Lo Full Stack Engineer [email protected] Learning defines me; setbacks fuel growth. Dedicated to continuous learning and adapting to AI trends, I am committed to joining an innovative team ready to tackle challenges. Skills Software Experience HTM/CSS(Sass)/JavaScript：5yrs+ Vue.js：2yrs C#：5yrs+ Python(Django/PyQt5/Tkinter)：5yrs+ SQL Server/MySQL/SQLite：3yrs+ Oracle DB：2yrs+ Java(Android)：1yr+ C++(STM32/ESP32/Arduino)：2yrs Web Development (Full Stack) Front-end:JavaScript,Vue.
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
國立台灣海洋大學 (NTOU)
・
系統工程暨造船學系
Technology Consultant @台灣易思資訊科技股份有限公司2019 ~ 2024
・
程式設計師
Dalam satu bulan
. Skilled in leveraging IBM Cognos Planning Analytics (TM1) and Oracle Hyperion Essbase for advanced financial planning and analysis. Possesses strong analytical acumen complemented by proficiency in Python scripting. Demonstrates adaptability by effectively navigating UNIX environments, including AIX and Linux. Currently expanding proficiency by learning JavaScript and C++ programming languages. 工作經歷 Technology Consultant • DXC Technology 六月Present | Taipei, Taiwan Project experiences: * Fubon Life IFRS17 Implementation Project * Bank of Taiwan Hong Kong Branch AML System Implementation Project * Fire Department Special Search and Rescue Team 5G AI Rescue Platform Supervision Project * USI
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
National United University
・
Information Manager
系統分析師 @全球華人股份有限公司/1111人力銀行2023 ~ Sekarang
・
SA,PM,數據分析師
Dalam satu bulan
AmandaWen 您好， 我是温婷瑋，在系統分析與數據分析有8年以上的工作經歷。於2015年畢業於靜宜大學，取得財務與計算數學所碩士。現在任職於全球華人(1111)，擔任SA。 就學期間，受過完整的統計相關訓練，並接觸了程式相關課程(例如:R、C++、SQL)，還因個人興
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
靜宜大學
・
財務與計算數學系Senior Front End Developer @Gemini Data Inc.2021 ~ Sekarang
・
Architect, Principal Software Engineer
Dalam satu bulan
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
Tunghai University
・
Computer Science
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Dalam satu bulan
梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
國立成功大學 National Cheng Kung University
・
Mechanical Engineering
Past
Senior Product Application Engineer @Mi Equipment2021 ~ 2023
・
Senior Engineer
Dalam satu bulan
Chenyang Hsu Seven years of experience as a semiconductor engineer. Studied the embedded system, Linux and firmware and completed the training from the iSpan training institution (the ex- Institute for Information Industry, III ). including C, C++, Java, Android, Python, data structure etc.. Adaptability, pressure management, empathy. Hsinchu, Hsinchu City, Taiwan ◆ e-mail: [email protected] Work experience NovemberJanuary 2023 Sr. Product Application Engineer Mi Equipment JuneSeptember 2018 Staff Process Engineer United Microelectronics Corporation ◆ Responsible for the shipment verification of all product series produced in Taiwan within 3 months
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Chung Yuan Christian University
・
PhysicPaket 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