CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
FREELANCE @DINAS LINGKUNGAN HIDUP KOTA CIREBON2022 ~ 2023
・
IT Manager / Support Engineer
兩個月內
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
就学中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
STMIK IKMI Cirebon
・
Rekayasa Perangkat Lunak
待业中
・
正在积极求职中
全职 / 我只想远端工作
6 到 10 年
Asia-Pacific International University
・
Computer and Information Systems Security/Information Assurance待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Universitas Serang Raya
・
Informatics Engineering
曾任
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
一個月內
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
東海大學 Tunghai University
・
資訊工程就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
元智大學 Yuan Ze University
・
資訊傳播
Manager @GOMAJI 夠麻吉2017 ~ 现在
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Project Lead / Tech Lead / Team Lead / Technical Manager
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Shih Hsin University
・
Management Information Systems, General
曾任
Senior Back End Software Developer @PT Profeed Social Media Management2023 ~ 2024
・
Front-End / Back-End / Full Stack Web Developer / Software Engineer
一個月內
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Universitas Pembangunan Nasional Veteran Jawa Timur
・
Informatics Engineering
一個月內
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
高級工程師 @不顯示公司名稱2022 ~ 现在
・
滲透測試、資訊安全、系統開發、程式設計
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
立德大學
・
資訊工程
Full-Stack Developer @SingaPay2023 ~ 现在
・
Front-End / Back-End / Full Stack Web Developer
一個月內
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/
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
Universitas Mercu Buana
・
Marketing Communication Advertising最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就学中
求职阶段
专业
软体工程师, Python 开发人员, 机器学习工程师
产业
软件, 人工智能 / 机器学习, 机器人科学
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
专业
German
・
进阶
Chinese
・
母语或双语
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立清華大學
主修科系
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