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6-10 tahun
國立台北科技大學 NTUT
・
Java & Android 人才培育專班
Software Test Engineer
Lebih dari satu tahun
Akansha Tiwari Software Test Engineer with 4+ years of experience in Functional and Automation testing. By incorporating Testing methodologies and processes, I have assisted many businesses in improving the user experience of their products and platforms. Software Test EngineerBhopal, IN [email protected] Skills Tools Selenium Robot Framework BugZilla Jira DevTrack Domains Game Testing Telecom Education Language/Packages Javascript HTML MS-Office C, C++ Python Ke y Responsi bilities Analyzing the business and System requirements Analysis of change controls documents that come after requirement freezes Interacting with the Client’s
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
J.D College of Engineering Nagpur
・
B.E (Electronics & Telecommunication)
System Test Engineer @Porsche Engineering2019 ~ Sekarang
・
Dalam satu bulan
Test Engineer for High Voltage Inverter for Zoox mobility project Integration - Vitesco • System Test Engineer for ASCO Automatic Transfer Switch project - Schneider Electric • System Test Engineer for High Voltage - Battery Management System project - Porsche 🛠 About my skills: Programming languages: Python, Java, TypeScript, CAPL, Matlab & Simulink Test automation: Robot Framework, Selenium Webdriver, Playwright, Cypress, Cucumber, Gherkin API testing : Postman Continuous integration: Jenkins, Bamboo Project build tools: Gradle, Maven Virtualization: VirtualBox, Docker Versioning systems: Git, Gitlab, Bitbucket, SVN Requirements and test case tracking: DOORS IBM, Polarion, VTestStudio, Altova Virtual environment: CANape, CANoe, Pysim Project management: JIRA, Confluence Project work methodology: Agile
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Terbuka untuk peluang
Full-time / Hanya bekerja jarak jauh
4-6 tahun
Technical University of Cluj Napoca
・
Applied Informatics in Complex System Engineering
系統分析工程師 @統振股份有限公司2023 ~ Sekarang
・
QA Engineer
Dalam enam bulan
the web system of products. In my daily work, I primarily focus on: - Executed test cases for functional, validation, end-to-end, and regression testing for web and mobile applications. (regression, and smoke test) - Bug logging and tracking through JIRA, Azure DevOps - Developed QA Automation using Python and Selenium for web UI. - Support Dynamic CRM test. Project on: 2021 : Test application on Android. - Rimage https://www.rimage.com/: Developed Regression Test Automation using Python, pytest, and Selenium for web UI from scratch with a co-worker. - CliqStudios https:/
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Paruh waktu / Hanya bekerja jarak jauh
10-15 tahun
LONGHUA UNIVERSITY OF SCIENCE AND TECHNOLOGY
・
Information ManagementSenior FAE @明泰科技股份有限公司, Alpha Networks Inc., Taipei2022 ~ Sekarang
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Dalam satu bulan
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Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Tamking University
・
Information Management Program
QA Automation Engineer @Mill52021 ~ 2023
・
QA Automation Engineer
Dalam satu tahun
using WebdriverIO and Javascript along with CI/CD using Gitlab - API Automation with JEST - Accessibility testing using AXE - Manual testing (Functional, regression, and usability testing) Automation Engineer • PRAGMA S.A JuneFebruaryAPI automation using Rest-Assured - Performance testing using Jmeter - Mobile testing using Appium - Test automation using Java and Selenium - Manual testing (Functional, regression, and usability testing) Testing Analyst • Sophos Solutions S.A.S NovemberJuneFunctional testing/Manual testing - API testing using Postman - Use of screenplay pattern - Automation testing using Java, Selenium, Cucumber, Serenity and Screenplay EducationSystems Engineering CS Bachelor Degree Universidad EAFIT Certificates ISTQB - Certified Tester
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Tidak terbuka untuk peluang
Full-time / Hanya bekerja jarak jauh
4-6 tahun
Universidad EAFIT
・
Systems Engineering
工程師 @中佑集團 凡谷興業2017 ~ 2021
・
網頁遊戲工程師
Dalam enam bulan
probability games and fishing machines. 工作經歷 天旭國際科技有限公司, 工程師, Jul 2021 ~ Mar 2023 兩款使用PIXI.JS開發棋牌類遊戲 開發組內自動化測試，selenium、cypress、Appium開發遊戲測試，使用python、javascript程式語言開發。 使用Git版控軟體 Two kinds of chess and cards game use Pixi.js development Develop automated testing within the group, use selenium, cypress, Appium to perform
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Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立高雄應用科技大學
・
資訊管理系Past
SQA Engineer @Claris Inc., an Apple company - Lionbridge Inc.2021 ~ 2023
・
QA automation engineer / Software development engineer in test
Dalam enam bulan
Tidak bekerja
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
Seneca College
・
Computer Engineering Technology
Software Quality Assurance Engineer @趨勢科技 TrendMicro2021 ~ Sekarang
・
Software Engineer / Backend Engineer
Dalam satu bulan
. , Department of Computer Science, National Tsing Hua University ,Major: Computer Science Minor: Industrial Engineering and Engineering Management Skills Programming Language Backend: Solid knowledge of backend programming, such as Golang, Python. Capability of reading and debugging with Java JDK8. Frontend: HTML/CSS/Javascript DevOps: Linux ShellScript, Selenium, Ansible ERP: SAP ABAP R/3, Fiori Numerical Analysis: MATLAB Hardware Programming: Verilog Applications & Software Familiar with RESTful APIs development using Golang. Hands on Container solutions. (Docker, Kubernetes) General Knowledge of MySQL, and other common databases with database design knowledge and proficiency in SQL language.
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立清華大學 National Tsing Hua University
・
Technology Managrment
Application Engineer - Quality Assurance @Caterpillar Financial Services2023 ~ Sekarang
・
QA automation engineer / Software development engineer in test
Dalam satu bulan
Ron Thibault Software Development Engineer in Test Meridian, ID, USA Highlights 5 years of test automation experience with C#/Selenium/Visual Studio/Git ensuring e-commerce web application is efficient and reliable - TestComplete experience as well as Ruby/PERL scripting 15 years’ software QA experience in software development life cycle including requirements gathering and clarification, test plan and test case creation, manual testing/troubleshooting - 5 years of Agile (Scrum) exp Experience testing a wide range of technologies: web, mobile, data warehouse, client / server, REST, video and networking 8 years’ experience as QA Lead
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4-6 tahun
Udemy
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Computer SciencePaket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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UI designer -UX
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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
Ability to convey information effectively and is willing to give and receive feedback.
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Software Engineer Intern
Zscaler Softech India Private Limited
・
2021 ~ Sekarang
Latar Belakang Profesional
Status sekarang
Siswa/Mahasiswa
Tahap pencarian kerja
Profesi
Back-end Engineer
Bidang Pekerjaan
Software
Pengalaman Kerja
Kurang dari satu tahun
Management
Keterampilan
Bahasa
English
・
Profesional
Hindi
・
Bahasa ibu atau Bilingual
Preferensi Pencarian Pekerjaan
Jabatan
Software Development Engineer
Tipe Pekerjaan
Paruh waktu
Lokasi
Bangalore, Karnataka, India
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
PES University
Jurusan
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.