CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Pingtung University
・
Computer science就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
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 ~ 現在
・
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
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
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
目前沒有興趣尋找新的機會
全職 / 我只想遠端工作
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 ~ 現在
・
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
就職中
・
目前沒有興趣尋找新的機會
實習生 / 暫不考慮遠端工作
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
全職 / 對遠端工作有興趣
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 ~ 現在
・
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
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Graduate Institute of Communication Engineering
Software Machine Vision Manager @CYG Semi2021 ~ 現在
・
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
就職中
全職 / 對遠端工作有興趣
10 到 15 年
國立成功大學 National Cheng Kung University
・
視覺伺服控制
工程師 @Ingee2018 ~ 現在
・
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
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
銘傳大學
・
資訊工程最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
超過一年
Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ 現在
專業背景
目前狀態
就學中
求職階段
專業
後端開發人員
產業
軟體
工作年資
小於 1 年
管理經歷
技能
語言能力
English
・
專業
Hindi
・
母語或雙語
求職偏好
希望獲得的職位
Software Development Engineer
預期工作模式
兼職
期望的工作地點
Bangalore, Karnataka, India
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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.