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4-6 tahun
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FREELANCE @DINAS LINGKUNGAN HIDUP KOTA CIREBON2022 ~ 2023
・
IT Manager / Support Engineer
Dalam dua bulan
Membuat Website Program Kampung Iklim Kota Cirebon yang bertujuan untuk mengetahui rekapan mengenai Biopori Adaptasi dan Mitigasi yang bertujuan untuk meminimalisir efek GRK (Gerakan Rumah Kaca) Pendidikan STMIK IKMI Cirebon Rekayasa Perangkat LunakProjek PROKLIM CIREBON Membuat Website Program Kampung Iklim Kota Cirebon yang bertujuan untuk mengetahui rekapan mengenai Biopori Adaptasi dan Mitigasi yang bertujuan untuk meminimalisir efek GRK (Gerakan Rumah Kaca) Project Website photographers tujuan membuat website photographers adalah untuk menambah daya tarik seseorang terhadap seni foto yang akan di publish melalui website photographers tersebut Skil Laravel Framework PHP CodeIgniter SQL Database SQL/MySQL SQL Server Bahasa Indonesian — Lancar
Siswa/Mahasiswa
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
STMIK IKMI Cirebon
・
Rekayasa Perangkat Lunak
Past
PHP Developer @飛資得資訊股份有限公司2023 ~ 2024
・
php後端工程師
Dalam satu bulan
Tidak bekerja
・
Siap untuk wawancara
Full-time / Hanya bekerja jarak jauh
6-10 tahun
Asia-Pacific International University
・
Computer and Information Systems Security/Information AssurancePast
Full Stack Developer @Banten IT Solutions2016 ~ 2024
・
Full Stack Developer
Dalam satu bulan
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Universitas Serang Raya
・
Informatics Engineering
Past
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
Dalam satu bulan
直透過寫程式來讓生活變得更便利。 所以我做了很多 side project ，並從中學習了很多技能。 Taiwan 技能 程式語言 Node.js Golang PHP Python 框架 React Laravel Gin Express GraphQL koa 資料服務 Mysql RabbitMQ Redis ElasticSearch 管理工具 Git Ubuntu Docker Gitlab Runner Github Action 工作經歷 後端工程師 易開科技 Canner Co.,Ltd. 三月二月 2024 Taipei, Taiwan 負
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
東海大學 Tunghai University
・
資訊工程專案管理師 @華立企業股份有限公司2023 ~ Sekarang
・
後端工程師/軟體工程師
Dalam satu bulan
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
元智大學 Yuan Ze University
・
資訊傳播
Manager @GOMAJI 夠麻吉2017 ~ Sekarang
・
Project Lead / Tech Lead / Team Lead / Technical Manager
Dalam satu bulan
北市, 台灣 工作經歷 九月Present Manager GOMAJI 夠麻吉 1. Website, API Development, and Third-Party Service Integration: (1) Responsibility: Managed company’s official websites and led API development using PHP Slim. Directed transitions from PHP/React.js to Laravel and integrated third-party services like Shopify Plus. (2) Achievement: Improved website performance by 20%, SEO score to 90, ensuring stability under high traffic and enabled rapid business model validation. 2. App Development: (1) Responsibility: Led development of Android and iOS apps, using Java, Kotlin, Objective
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
Shih Hsin University
・
Management Information Systems, General
Past
Senior Back End Software Developer @PT Profeed Social Media Management2023 ~ 2024
・
Front-End / Back-End / Full Stack Web Developer / Software Engineer
Dalam satu bulan
in/vanpersietyo https://vanpersietyo.my.id I am a Bachelor of Infromatics Engineering from UPN Veteran East Java with the honor Best Graduate with a GPA ofI have more than 6 years of experience in the field of software development, especially for Backend using PHP Laravel and am used to using OOP concepts and Agile Methodology for software development. Apart from that, I also have experience in the Front End field, especially HTML, CSS and Javascript as well as the VueJS framework. For databases I usually use MySQL or PostgreSQL, and for cache
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Universitas Pembangunan Nasional Veteran Jawa Timur
・
Informatics Engineering
Dalam satu bulan
PHP (Laravel) Javascript Bitbucket, GitLab Jira, Confluence OAuth, RESTful, Swagger, Sentry Work Experience Senior PHP Developer • SiliconStack Pty Ltd Junpresent Project: Carbar (Australia company) Carbar is the Australia's first and leading car subscription service, providing an alternative to car ownership with flexibility and commitment-free benefits. Tech stack: Laravel, MySQL, Jquery, RESTful API, Swagger. Role: Working as a developer of Carbar's development team (all developers are foreigners), working with Laravel framework, and third party services: HubSpot (CRM, marketing), Catch-e, Zuora (Payment). Responsibilities Integrating Catch-e service into Carbar API project. Fixing bugs and
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
高級工程師 @不顯示公司名稱2022 ~ Sekarang
・
滲透測試、資訊安全、系統開發、程式設計
Dalam satu bulan
黃榆翔 滲透測試 / 系統開發 MCP / ECSA 滲透測試、資訊安全、系統開發、程式設計 城市，TW [email protected] 學歷 立德大學, 碩士學位, 資訊工程, 2007 ~ 2009 技能 滲透測試 Kali, Metasploit, Burp etc. 系統開發 PHP, Laravel Framework, Python, Rust, Visual Basic .Net, JavaScript, JQuery, Vue, MySQL, MariaDB, SQL Server etc. 系統管理 Windows Server. 工
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
立德大學
・
資訊工程
Full-Stack Developer @SingaPay2023 ~ Sekarang
・
Front-End / Back-End / Full Stack Web Developer
Dalam satu bulan
Farhan Agung Maulana Website Developer | Laravel, Codeigniter, React, Next js I am Farhan Agung Maulana, an adept Full-Stack Developer with a passion for creating advanced web solutions. With a rich history of collaborating on impactful projects for industry leaders bring expertise in PHP and JavaScript, specializing in frameworks like Laravel, CodeIgniter, React JS, and Next JS. My commitment to delivering high-quality web systems is fueled by a deep understanding of project workflows and a relentless pursuit of excellence. Jakarta, [email protected] https://www.linkedin.com/in/
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
Universitas Mercu Buana
・
Marketing Communication AdvertisingPaket 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