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4-6 years
6-10 years
10-15 years
More than 15 years
Software Development Manager @聯禦科技有限公司2023 ~ Present
・
PM/產品經理/專案管理
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立台灣海洋大學
・
航運管理學系
Past
Senior QA engineer @DeepHow2023 ~ Present
・
QA automation engineer / Software development engineer in test
Within one month
黃凱弘 Kyle Huang 7 年經驗的軟體手動 & 自動化 QA，喜歡用 Python 撰寫各種小工具解決生活中許多 routine 的工作 QA automation engineer / Software development engineer in test Taipei/ Hsinchu, TW [email protected] Manual Test planning Establish test cases Writing test reports New function testing, regression testing, user acceptance testing (UAT) Bug tracking Test case management: TestRail , Testmo Issue management: Jira, FogBugz Automation Programing language: Python Framework: Appium, Selenium, Unittest, Pytest, Allure DB: PostgreSQL, NoSQL
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
・
應用數學系 統計組
Software Validation & Quality Assurance Senior Manager @Marvell Technology2020 ~ Present
・
QA automation engineer / Software development engineer in test
Within one month
Jaron Cheng New Taipei City, [email protected] https://www.linkedin.com/in/jaroncheng/ Hi, my name is Jaron, I'm the senior manager, software validation and quality assurance at Marvell. I've been dedicated to SOC software development in the field of server and industrial storage for over a decade. Now I'm seeking for new opportunity of engineering role - Software, please feel free to arrange a meeting with me if my expertise meets your requirements. Thank you. Work Experience Software Validation & Quality Assurance Senior Manager
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
Yuan-Ze University
・
Electrical Engineering
Past
Senior Quality Analyst @Thoughtworks2022 ~ 2023
・
QA automation engineer / Software development engineer in test
Within one month
Vlad Volkov Automation QA Engineer [email protected] I'm passionate about testing web and mobile software. Proficient with JavaScript, testing automation, and CI. Hands-on experience with UX/UI, API, and performance testing. I care about quality. I tested dozens of mobile apps and websites, wrote thousands of bug reports, use betas of my favorite apps, and happy to help everyone who cares about quality. Taiwan Work Experience Quality Analyst • Thoughtworks, Thailand API and performance testing of flight booking API Building a performance testing suite with k6, integrating in Kubernetes cluster
Unemployed
・
Ready to interview
Full-time / Not interested in working remotely
4-6 years
慈濟大學 Tzu Chi University
・
Mandarin Chinese CourseQA automation engineer / Software development engineer in test
Within one month
FANG YI HUANG (Stephanie Huang) 📞📧 [email protected] About Me I am a testing engineer with over 8 years of testing experience on mobile phones (Acoustics testing, Camera testing, Photos and Mobile application testing) and 1 year experience for automation development of Pixel phone Acoustics testing. I am an observant and sensitive worker, also have a good ability of independent thinking to problem-solving and decision-making. Keeping flexible thinking make me earlier to overcome unexpected scenarios quickly. I am responsible and committed to my job, always collaborating with cross-functional teams to
Unemployed
・
Ready to interview
Full-time / Not interested in working remotely
6-10 years
Past
Pendidik @Guru Private Komputer2016 ~ 2023
・
QA automation engineer / Software development engineer in test
Within one month
Unemployed
・
Ready to interview
Part-time / Interested in working remotely
10-15 years
UNIVERSITAS INDRAPRASTA PGRI
・
Teknik Informatika
軟體工程師 @POMME Tech2023 ~ Present
・
軟體工程師
Within one month
easy to sort Bin by count/rate. Planning and writing of software architecture design documents. Software personnel development schedule, software project working hours calculation planning. a. Finished project management system with team member. Discuss and develop software specifications with customers. Innostor Technology Corporation, software engineer, Dec 2008 ~ May 2013 Mass production test software development (including MP Tool, QC Tool, OEM Tool, Recovery... etc.). a. Hard disk partition encryption application. b. Production line mass production application. Silicon mo, Software Engineer, Oct 2004 ~ Oct 2008 System
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
元培科技大學
・
電子工程
Past
SENIOR SOFTWARE ENGINEER @RIKKEISOFT TOPTECH INFORMATICS K.K2020 ~ 2023
・
Senior Full Stack Developer
Within one month
including Java, Python, and JavaScript, with extensive knowledge of software design patterns, algorithms, and data structures. Skilled in collaborating with cross-functional teams to deliver projects on time and within budget. Adept at identifying and solving complex technical problems, with a strong commitment to continuous learning and professional development. Work Experience SENIOR SOFTWARE ENGINEER • RIKKEISOFT TOPTECH INFORMATICS K.K AprilApril 2023 | Nagasaki, Japan •Developed and implemented an agile software development methodology, resulting in a 30% reduction in project delivery time and a 15% decrease in bug rates. •Optimized database performance by 40% through efficient query
Unemployed
・
Ready to interview
Full-time / Remote Only
10-15 years
The University of Tokyo
・
Computer SciencePast
IoT software engineer @Upwork as a Freelancer2022 ~ Present
・
CTO、Sr.Software Manager、Sr.Software Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
國立中興大學
・
物理
Project and Product Manager (Freelancer) @PT. Hijau Naavee Ideatama2023 ~ Present
・
Product/Project Manager
Within one month
Reza Firdaus S. Kom Reza Firdaus is a highly experienced IT professional with a strong background in IT Infrastructure, Project Management, Product Management, and Scrum Master. With 7 years of experience in IT Infrastructure and 5 years of experience in Project Management and Product Management, Reza has honed his skills in managing complex technical projects, leading cross-functional teams, and overseeing IT operations. As a Scrum Master, Reza has a proven track record of guiding agile development teams to deliver high-quality products on time and within budget. With a focus on continuous improvement, Reza is
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
STMIK Pranata Indonesia
・
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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.