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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Pingtung University
・
Computer science就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
聖約翰科技大學
・
電機工程系
曾任
Product Manager @Neousys Technology 宸曜科技2018 ~ 2023
・
後端工程師
一個月內
HUAN-CHIN CHEN Product Manager Taipei, Taiwan Huan-Chin Chen is a product manager at Neousys Technology Inc. She is currently focusing on automation and AI computing domain. Formerly, Huan-Chin held a bachelor’s degree major in Electrical Engineering awarded by National Taiwan University inBesides her major, she has also self-learning much knowledge related to computer science like C++ Language, Data Structure, and Full Stack Development, which have prepared her for technical skills both in hardware and software domains. The time during her college years has led Huan-Chin to creative thinking, problem
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學（National Taiwan University）
・
Electrical Engineering 電機工程學系
Solidity | Backend | Golang 資深後端軟體工程師 @OO科技2022 ~ 现在
・
軟體工程師、後端工程師
一個月內
吳皇耀 Senior Backend Developer Taipei, Taiwan 程式類工作總年資10年以上 C++|PC端|win32 : 5 年以上 Golang|backend|server : 3 年以上 區塊鏈 : 3 年以上 隨著環境變化勇於挑戰, 不安逸於現狀. Programing Go C++ Solidity node.js Database MySQL MongoDB Oracle Framework Gorm/Xorm JUCE QT Remix Truffle Others Git/SVN Docker Redis ETH/TRON/BSC ERC20/ERC721 NFT/OpenSea 工
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
10 到 15 年
新竹私立中華大學
・
資訊工程系Information System SeniorExecutive @BRAND'S SUNTORY LTD. TAIWAN BRANCH (MALAYSIA)2019 ~ 2023
・
Front-End / Back-End / Full Stack Web Developer / Software Engineer
一個月內
目前没有兴趣寻找新的机会
全职 / 我只想远端工作
6 到 10 年
自學
・
全端網頁開發 / 行動 App 開發 / 獨立遊戲開發
seo @Satta king2017 ~ 现在
・
SEO Manager, Content Manager, Digital Marketing Manager
半年內
matka.in https://satta-king-no.in https://satta-king-org.com https://satta-king-online.in MarchPresent Education AprJan 2020 University or School Field of study AprJan 2020 University or School Field of study Skills Word Java C/C++ Languages English — Intermediate What is Satta Matka? Satta King , also known as Satta Matka , is a popular game among the countrys working class.Lotteriesand the Satta King or Satta Matka game are frequently confused. Satta Matka is a lottery game that has been popular in
就职中
・
目前没有兴趣寻找新的机会
Intern / 暂不考虑远端工作
6 到 10 年
Tutor @Huaxing High School2020 ~ 2022
・
一個月內
Jacky (Huang, Yu-TingI have been working as a mathematics teacher in Taiwan for four years, teaching in junior and senior high school. During my master's degree, I served as a calculus teaching assistant for three years, and I also have two years of experience teaching at cram schools. (2) Adhering to the original intention of education, I believe in a balanced approach of kindness and discipline to guide students into the realm of learning. I utilize various activities to stimulate student motivation. My teaching style is joyful and engaging, yet rigorous, ensuring that the
全职 / 对远端工作有兴趣
6 到 10 年
National Cheng Kung University
・
Applied mathematics
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ 现在
・
Machine Learning Researcher / Engineer
一個月內
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [email protected] TW, Taipei CAREER SUMMARY 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment. 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 1+ year of participation in the technology management
就职中
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
・
Graduate Institute of Communication Engineering
Software Machine Vision Manager @CYG Semi2021 ~ 现在
・
Software Development Manager
超過一年
pitch direction Cooperative develop 3D mesh related functions with academic unit People management : 1 senior Senior Software Engineer • Test Research Inc. OctMar 2019 Inline 3D AOI at SMT (AVL winning from the tier 1 benchmark) 3D reconstruction technology development with DLP(Fringe pattern) Data process algorithm including noise suppression and data rebuild Multi sensors calibration between DLPs and 2D camera GPU-based acceleration for 3D data process Skills Programming C#/WPF/MVVM MFC/C++ Language Mandarin English Education SepJun 2010 Bachelor - NCKU/EE SepJun 2020 Master - NCKU/EE Vision servo control
就职中
全职 / 对远端工作有兴趣
10 到 15 年
國立成功大學 National Cheng Kung University
・
視覺伺服控制
工程師 @Ingee2018 ~ 现在
・
程式設計師
三個月內
慣思考是如何構建出來的，或使用的技術等等。 skills: python programming 使用過的技術: 影像處理 圖像辨識 陣列運算 網路檔案傳輸 網頁爬蟲 C++ Language 使用過的技術: 影像處理 陣列運算 資料儲存 SQL 語法 Photoshop Microsoft office: PowerPoint Word 在大學的重要經歷 民國102年進入桃園銘傳大學
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
銘傳大學
・
資訊工程最轻量、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.