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
曾任
Frontend Software Engineer @foodpanda2022 ~ 2023
・
前端工程師、全端工程師
一個月內
Wanlin Lin [email protected] https://www.linkedin.com/in/wanlinlin/ https://github.com/WanLinLin Taipei, Taiwan A React developer with six years of experience in developing single-page applications and server-side rendering products. An open-minded learner in web technologies, adept at working in cross-functional teams. A positive and proactive Scrum developer dedicated to delivering product improvements and maintaining high-quality code. Professional Experience Frontend Software Engineer - foodpanda Taipei City, Taiwan・Remote・MayDec 2023 As the leader of the Dine-in
待业中
・
正在积极求职中
全职 / 我只想远端工作
6 到 10 年
國立中山大學
・
資訊管理
AI Technical Lead @WeBIM Services2024 ~ 现在
・
前端工程師、後端工程師、全端工程師
一個月內
collaboration costs. Researched and utilized Nvidia Omniverse to develop high-quality rendering services. Developed the 3D model management module for SyncoBox digital design automation service. Designed and utilized Autodesk Platform Service Viewer to develop 3D model rendering components. Designed and developed SyncoBox Panorama to provide online panoramic services with offline access support. Refactored WeBIMSync with web technologies and integrated it into SyncoBox services. Designed and developed SyncoBox Markups to reduce 50% of paper-based discussions in architectural design. Developed SyncoBox facility management service to improve factory maintenance efficiency by 4...
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
・
Civil Engineering (Division of Transportation Engineering)
Senior Front-End Developer @Binance2022 ~ 现在
・
Senior Front-end Engineer
一個月內
We dedicated approximately six months to refining the app, achieving an experience close to native applications—a challenging feat. For instance, I managed to synchronize swipe and tab interactions solely using JavaScript. While such interactions are straightforward in native apps, they require significant effort in PWA based on web technologies. Beyond this optimization, we implemented page-level caching, boosting response speeds by roughly 40%. Additionally, we rapidly iterated a 'futures function' within the PWA using an iframe, where I fine-tuned all communication features and UI to closely mimic a native experience. Overall, this application
就职中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
4 到 6 年
輔仁大學
・
應用數學系
Software Engineer @Morpheus One2021 ~ 2023
・
Frontend Developer, Developer Team Leader, Architect, FullStack Developer
一個月內
architect start from scratch. Work with a team to develop a booking application that can be used from Taiwan healthcare system. - Cooperate with Singapore financial tech startup. Develop, design and maintain the existing code with IT skill sets via angular Ionic and python Django frameworks. - Utilize web technology such as Typescript, Rxjs, Eslint, Node and other languages. Communicate with the team to find out the optimal solution for enterprise model reuse. Front End Developer • Friend Finder Networks, Inc. 十二月四月 2020 | Taipei, Taiwan - Leading a team to develop with the
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
University of Denver
・
Mobile Application Development
Full Stack Engineer @Breezy2022 ~ 现在
・
Senior Frontend Developer
三個月內
Others CI / CD RabbitMQ Socket.io WebRTC TypeScript ES6 / ES7 AWS Google Cloud Mobile React Native Ionic Flutter Work Experience Full Stack Engineer • Breezy JanuaryPresent Implemented and maintained front-end, resulting in a 10% increase in website traffic and conversion rates. Implemented and maintained front-end web applications, resulting in a 20% reduction in page load speeds and conversion rates by utilizing modern web technologies such as React.js and best practices for user experience and accessibility. Developed and executed front-end development strategies, resulting in a 15% increase in website performance by implementing
就职中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
10 到 15 年
Army Public School
曾任
Senior Software Engineer @KaiOS Technologies, Inc.2021 ~ 2023
・
Sr. Backend Engineer, Sr. Software Engineer, Backend Team Leader
一個月內
待业中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Tajen University
・
Bachelor Of Computer Science目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Universidad Nacional de Río Cuarto
・
Licentiate in Computer Science
Frontend Engineer @Buyandship2019 ~ 现在
・
Back-End Engineer, Full Stack Engineer, Front-End Engineer
兩個月內
Flutter. Senior Engineer ADVANTECH, Feb 2019 ~ Aug 2019 Utilized Tcl/Tk and web technologies to validate circuits with OrCAD, aiding the layout team in early problem detection. Rewrote the website frontend using Vue.js, managed CSS with SCSS, and implemented Bootstrap 4. Decoupled the front-end and back-end, establishing communication between them through a REST API. Junior Engineer ADVANTECH, Sep 2016 ~ Feb 2019 Developed web applications using PHP with the CodeIgniter framework. Introduced SVN as the version control system and set up SVN servers. Automated website deployment u...
就职中
・
目前没有兴趣寻找新的机会
全职 / 暂不考虑远端工作
4 到 6 年
National Taipei University of Technology
・
Computer Science and Information EngineeringIsabella Di Fabio Single SEO @Isabella Di Fabio Web Design Company2019 ~ 现在
・
CEO & Co-Founder
半年內
就职中
兼职 / 对远端工作有兴趣
6 到 10 年
University of Japan
・
Web Design, Digital Marketing
technical support and IT consulting @Nikan alumni association2019 ~ 现在
・
Frontend Developer
兩個月內
mahdiyar anari Web developer Web Developer with 10 years of experience in web technologies, Linux and computer networks my personal portfolio : https://netdom.ir my Codepen profile : https://codepen.io/mahd1ar Tehran, Tehran Province, Iran https://netdom.ir Skills Tech Stack Node.js Typescript Vue.js Tailwind Nuxtjs Design Tools Illustrator Photoshop Figma Projects nikan-alumni website nikan-alumni.com tech stack: nuxt 2, tailwindcss, nginx, ubuntu, wordpress (headless) -> see screenshots here Carizanin.com - produces all kinds of bolts and nuts https://carizanin.
全职
10 到 15 年
MikroTik
・
MTCNA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。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 现在
专业背景
目前状态
就学中
求职阶段
专业
后端开发人员
产业
软件
工作年资
小於 1 年
管理经历
技能
语言能力
English
・
专业
Hindi
・
母语或双语
求职偏好
希望获得的职位
Software Development Engineer
预期工作模式
兼职
期望的工作地点
Bangalore, Karnataka, India
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
PES University
主修科系
B.Tech Computer Science and Engineering
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.
Work Experience
Software Engineer Intern, May 2020 ~ Jul 2020
Zscaler Softech India Private Limited|
Achievements/Tasks
- Worked in Security team that applies security policies on data like Data Loss Prevention, URL classification using ML techniques and Cloud Sandboxing.
- My work revolved around understanding, improvising and contributing to several components of CASB(Cloud Access Security Broker) like refactoring some code components, automating information scrapping from vendor websites and supporting daily difference functionality, enhancing some scripts and writing preprocessing script to handle additional vendor data.
- Also added C code for small features like structure flattening for efficient processing of data and fetching and displaying data from predefined X-Macro in particular format.
- Tools and technologies used - Python scripting, C programming, Web Scraping, Object-Oriented Design, FreeBSD OS, Selenium WebDriver
Research Intern, Jun 2019 ~ Jul 2019
CDSAML, PES University|
Achievements/Tasks
- Scene Description using Densecap-Hybrid-Hierarchical RNN| - Generated image description in the form of coherent paragraphs using Densecap CNN for Dense Captioning and Hierarchical RNN on a subset of Visual Genome dataset consisting of around 20k images.
- Was able to perform as good as state-of-art in terms of Meteor score which is inclined towards human-like sentences.
- Tools and Technologies used - Python, TensorFlow, Deep Learning, Jupyter Notebook, Ubuntu
Education
B.Tech Computer Science and Engineering, 2017~2021
PES University, Bangalore - 9.42 / 10 CGPA
Courses: Cloud Computing, Data Analytics, Machine Learning, Web Technology
Intermediate, 2015 ~ 2017
Mata Kasturi Devi Public School, New Delhi - 90.8%
Matriculation, 2011 ~ 2015
St. Francis Xavier School, Hisar, Haryana - 10/10 CGPA
Skills
Industry Skills
Data Analytics
Data Structures and Algorithms
Problem Solving
Object Oriented Design
Database Management System
Programming & Web
Programming Languages:
C, C++, Python, SQL
Web Technology:
HTML, CSS, Javascript, PHP, AJAX, RESTful APIs
Others
Tools & Technologies:
Linux, Git
Spoken Languages:
English, Hindi
Projects
Code Semantic Detector|
- A Machine Learning based system to detect semantics/high-level function of code in the form of semantic label.
- Made to run on self-generated dataset of 500 programs across 25 labels from 8 DS/Algorithm categories.
- Approached in static and dynamic way giving accuracies of 98% and 80% respectively.
- Implemented using Python, TensorFlow, JQuery, Flask, Neural Networks, AST path mining, Universal Approximation Theorem, Naive Bayes Classifier.
RideShare on AmazonAWS|
- A scalable, distributed, fault-tolerant, highly-available, containerized and micro-services based ridesharing service deployed on AWS EC2.
- Implemented using Flask, Docker, Rabbit-MQ, Zookeeper, MySQL and RESTful APIs.
Farm-To-Fork|
- An ecommerce website for direct selling of farm goods by farmers to consumers involving Machine Learning techniques for suggestion and recommendation.
- Implemented using Jquery, Flask, MySQL, RESTful APIs and performed Unit, System and Performance tests.
Malware Detection on Microsoft’s Malware dataset|
- Predicting whether a Window’s machine will soon be hit with a malware using a Light Gradient Boosting Machine model.
- Obtained an AUC of 0.6712 and was scored 0.682 on Kaggle Submission.
- Implemented using Python, TensorFlow, Google Colaboratory.
Achievements
Currently hold Global Rank 36 on InterviewBit
Currently hold Institute Rank 3 out of 2130 on GeeksForGeeks
Stood at 4126/11,750 in Google Kick Start Round D 2020
Awarded Prof. CNR Rao Merit Scholarship in first 6 semesters for being in Top 20% of current CSE Batch at PES University
Extra Curricular
Attended Google’s Developer Student Club PESU (DSC PESU) Cloud Study Jam | QWIKLABS Profile|
Held at PES University, Bangalore on 20 July 2019
Participated in Microsoft’s MSHACK Hackathon|
Held at Microsoft IDC, Bangalore on 19-20 January 2019
Good Samaritans - Android Mobile app that lets users in distress seek help from other willing users in the vicinity.