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On
4-6 years
6-10 years
10-15 years
More than 15 years
Past
Frontend Software Engineer @foodpanda2022 ~ 2023
・
前端工程師、全端工程師
Within one month
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
Unemployed
・
Ready to interview
Full-time / Remote Only
6-10 years
國立中山大學
・
資訊管理
AI Technical Lead @WeBIM Services2024 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Civil Engineering (Division of Transportation Engineering)
Senior Front-End Developer @Binance2022 ~ Present
・
Senior Front-end Engineer
Within one month
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
Employed
・
Open to opportunities
Full-time / Remote Only
4-6 years
輔仁大學
・
應用數學系
Software Engineer @Morpheus One2021 ~ 2023
・
Frontend Developer, Developer Team Leader, Architect, FullStack Developer
Within one month
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Denver
・
Mobile Application Development
Full Stack Engineer @Breezy2022 ~ Present
・
Senior Frontend Developer
Within three months
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
Employed
・
Open to opportunities
Full-time / Remote Only
10-15 years
Army Public School
Past
Senior Software Engineer @KaiOS Technologies, Inc.2021 ~ 2023
・
Sr. Backend Engineer, Sr. Software Engineer, Backend Team Leader
Within two months
陳冠廷 - Alex Chen Phone:email: [email protected] Backend software engineer with strong background more than 9+ years of experience in designing and developing high-performance software solutions. With expertise in Java Spring Boot, distributed systems, micro-services architecture, distributed systems that leverage Message Queue (MQ) systems and in-memory databases, my experience in architecting such systems has led to improved system performance, scalability, and responsiveness, making them well-suited for demanding real-time applications. Work Experience KaiOS Technologies Sr. Software Engineer • 2021//07 KaiCloud is a microservice system.
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Tajen University
・
Bachelor Of Computer ScienceOpen to opportunities
Full-time / Interested in working remotely
6-10 years
Universidad Nacional de Río Cuarto
・
Licentiate in Computer Science
Senior Software Engineer @NVIDIA2023 ~ Present
・
Software Developer
Within one month
OpenBSD user. Computer Graphics I have developed my own physically based path tracer from scratch with support for PBRTv2 scene format, Intel Embree, HDR, etc... And have written a simple real time rendering engine using C++ and OpenGL. Shaded with GLSL. Alternative Web Technologies Besides standard HTTP and (No)SQL. I have experience with alternative/distributed solutions to common web technologies. Solving problems in a different way that boosts capabilities in special domains. Such as OpenDHT (decentralized KV store), GNUNet (private data transfer), GNU Name System (decentralized name
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學
・
CSE
Frontend Engineer @Buyandship2019 ~ Present
・
Back-End Engineer, Full Stack Engineer, Front-End Engineer
Within two months
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...
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
National Taipei University of Technology
・
Computer Science and Information EngineeringIsabella Di Fabio Single SEO @Isabella Di Fabio Web Design Company2019 ~ Present
・
CEO & Co-Founder
Within six months
Employed
Part-time / Interested in working remotely
6-10 years
University of Japan
・
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
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More than one year
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ Present
Professional Background
Current status
Studying
Job Search Progress
Professions
Back-end Engineer
Fields of Employment
Software
Work experience
Less than 1 year
Management
Skills
Languages
English
・
Professional
Hindi
・
Native or Bilingual
Job search preferences
Positions
Software Development Engineer
Job types
Part-time
Locations
Bangalore, Karnataka, India
Remote
Interested in working remotely
Freelance
No
Educations
School
PES University
Major
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.